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METHOD:PUBLISH
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CALSCALE:GREGORIAN
X-WR-CALNAME:IMA Upcoming Events Calendar
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X-WR-RELCALID:imacalendar-5596eea69fe95
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BEGIN:VTIMEZONE
TZID:US/Central
BEGIN:DAYLIGHT
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
DTSTART:20150703T152000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
TZNAME:CDT
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
DTSTART:20150703T152000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
TZNAME:CST
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
UID:imaevent-5596eea6a747e
DTSTAMP:20150703T152000
DTSTART:20150720T080000
DTEND:20150720T084500
SUMMARY:Coffee and Registration[8:00am-8:45am]
DESCRIPTION: Coffee and Registration [ Location: Lind Hall 400\, Mathematics of Biological Charge Transport: Molecules and Beyond(SW7.20-24.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.20-24.15/
Location: Lind Hall 400
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea6a8d78
DTSTAMP:20150703T152000
DTSTART:20150720T084500
DTEND:20150720T090000
SUMMARY:Welcome[8:45am-9:00am]
DESCRIPTION: Welcome [ Location: Lind 305\, Mathematics of Biological Charge Transport: Molecules and Beyond(SW7.20-24.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.20-24.15/
Location: Lind 305
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea6ac23a
DTSTAMP:20150703T152000
DTSTART:20150720T090000
DTEND:20150720T095000
SUMMARY:Lecture[9:00am-9:50am]
DESCRIPTION: Lecture Jiali Gao\, University of Minnesota\, Twin Cities [ Location: Lind 305\, Mathematics of Biological Charge Transport: Molecules and Beyond(SW7.20-24.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.20-24.15/
Location: Lind 305
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea6adcd7
DTSTAMP:20150703T152000
DTSTART:20150720T095000
DTEND:20150720T101500
SUMMARY:Break[9:50am-10:15am]
DESCRIPTION: Break [ Location: Lind Hall 400\, Mathematics of Biological Charge Transport: Molecules and Beyond(SW7.20-24.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.20-24.15/
Location: Lind Hall 400
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea6b0486
DTSTAMP:20150703T152000
DTSTART:20150720T101500
DTEND:20150720T110500
SUMMARY:Persistent Homology Analysis of Biomolecules[10:15am-11:05am]
DESCRIPTION: Persistent Homology Analysis of Biomolecules Kelin Xia\, Michigan State University [ Proteins are the most important biomolecules for living organisms. The understanding of protein structure\, function\, dynamics\, and transport is one of the most challenging tasks in biological science. We have introduced persistent homology for extracting molecular topological fingerprints (MTFs) based on the persistence of molecular topological invariants. MTFs are utilized for protein characterization\, identification\, and classification. Both all-atom and coarse-grained representations of MTFs are constructed. On the basis of the correlation between protein compactness\, rigidity\, and connectivity\, we propose an accumulated bar length generated from persistent topological invariants for the quantitative modeling of protein flexibility. To this end\, a correlation matrix-based filtration is developed. This approach gives rise to an accurate prediction of the optimal characteristic distance used in protein B-factor analysis. Finally\, MTFs are employed to characterize protein topological evolution during protein folding and quantitatively predict the protein folding stability. An excellent consistence between our persistent homology prediction and molecular dynamics simulation is found. This work reveals the topology-function relationship of proteins. Location: Lind 305\, Mathematics of Biological Charge Transport: Molecules and Beyond(SW7.20-24.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.20-24.15/
Location: Lind 305
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea6b1f67
DTSTAMP:20150703T152000
DTSTART:20150720T110500
DTEND:20150720T113000
SUMMARY:Break[11:05am-11:30am]
DESCRIPTION: Break [ Location: Lind Hall 400\, Mathematics of Biological Charge Transport: Molecules and Beyond(SW7.20-24.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.20-24.15/
Location: Lind Hall 400
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea6b472b
DTSTAMP:20150703T152000
DTSTART:20150720T113000
DTEND:20150720T122000
SUMMARY:Lecture[11:30am-12:20pm]
DESCRIPTION: Lecture Jie Liang\, University of Illinois\, Chicago [ Location: Lind 305\, Mathematics of Biological Charge Transport: Molecules and Beyond(SW7.20-24.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.20-24.15/
Location: Lind 305
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea6b59d6
DTSTAMP:20150703T152000
DTSTART:20150720T122000
DTEND:20150720T140000
SUMMARY:Lunch[12:20pm-2:00pm]
DESCRIPTION: Lunch [ Mathematics of Biological Charge Transport: Molecules and Beyond(SW7.20-24.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.20-24.15/
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea6b7ff3
DTSTAMP:20150703T152000
DTSTART:20150720T140000
DTEND:20150720T145000
SUMMARY:Geodesic Curvature Modulated Microdomain Formation in Lipid Membrane[2:00pm-2:50pm]
DESCRIPTION: Geodesic Curvature Modulated Microdomain Formation in Lipid Membrane Yongcheng Zhou\, Colorado State University [ Classical phase field models for lipid phase separation tend to minimize the interface energy\, ending up with large domains after separation. A biologically more relevant scenario is the formation of local lipid domains\, centered around proteins or not\, called lipid rafts\, which can not be reproduced by using the classical lipid phase separation models. Here we introduce an energy penalizing the mismatch of different lipid species at their contact interface and represent this energy using the geodesic curvature on arbitrarily curved membrane surfaces. We successfully simulated the formation of local lipid domains for various lipid compositions. Our results will provide a solid mathematical foundation for simulating the ras proteins localization at the boundary of micro lipid domains. Location: Lind 305\, Mathematics of Biological Charge Transport: Molecules and Beyond(SW7.20-24.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.20-24.15/
Location: Lind 305
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea6b9946
DTSTAMP:20150703T152000
DTSTART:20150720T145000
DTEND:20150720T151500
SUMMARY:Break[2:50pm-3:15pm]
DESCRIPTION: Break [ Location: Lind Hall 400\, Mathematics of Biological Charge Transport: Molecules and Beyond(SW7.20-24.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.20-24.15/
Location: Lind Hall 400
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea6bbf2a
DTSTAMP:20150703T152000
DTSTART:20150720T151500
DTEND:20150720T160500
SUMMARY:Lecture[3:15pm-4:05pm]
DESCRIPTION: Lecture Keith Promislow\, Michigan State University [ Location: Lind 305\, Mathematics of Biological Charge Transport: Molecules and Beyond(SW7.20-24.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.20-24.15/
Location: Lind 305
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea6bd82f
DTSTAMP:20150703T152000
DTSTART:20150720T160500
DTEND:20150720T170000
SUMMARY:Discussion[4:05pm-5:00pm]
DESCRIPTION: Discussion [ Location: Lind 305\, Mathematics of Biological Charge Transport: Molecules and Beyond(SW7.20-24.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.20-24.15/
Location: Lind 305
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea6bea6f
DTSTAMP:20150703T152000
DTSTART:20150720T180000
DTEND:20150720T200000
SUMMARY:Social Hour[6:00pm-8:00pm]
DESCRIPTION: Social Hour [ Mathematics of Biological Charge Transport: Molecules and Beyond(SW7.20-24.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.20-24.15/
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea6c0251
DTSTAMP:20150703T152000
DTSTART:20150721T083000
DTEND:20150721T090000
SUMMARY:Coffee[8:30am-9:00am]
DESCRIPTION: Coffee [ Location: Lind Hall 400\, Mathematics of Biological Charge Transport: Molecules and Beyond(SW7.20-24.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.20-24.15/
Location: Lind Hall 400
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea6c28a9
DTSTAMP:20150703T152000
DTSTART:20150721T090000
DTEND:20150721T095000
SUMMARY:Lecture[9:00am-9:50am]
DESCRIPTION: Lecture Weitao Yang\, Duke University [ Location: Lind 305\, Mathematics of Biological Charge Transport: Molecules and Beyond(SW7.20-24.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.20-24.15/
Location: Lind 305
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea6c4422
DTSTAMP:20150703T152000
DTSTART:20150721T095000
DTEND:20150721T101500
SUMMARY:Break[9:50am-10:15am]
DESCRIPTION: Break [ Location: Lind Hall 400\, Mathematics of Biological Charge Transport: Molecules and Beyond(SW7.20-24.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.20-24.15/
Location: Lind Hall 400
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea6c6bfa
DTSTAMP:20150703T152000
DTSTART:20150721T101500
DTEND:20150721T110500
SUMMARY:Fast Operator Splitting Algorithms for the Electrostatic Analysis of Solvated Biomolecules[10:15am-11:05am]
DESCRIPTION: Fast Operator Splitting Algorithms for the Electrostatic Analysis of Solvated Biomolecules Shan Zhao\, University of Alabama [ The Poisson-Boltzmann (PB) equation is an effective model for the electrostatics analysis of solvated biomolecules. The nonlinearity associated with the PB equation is critical when the underlying electrostatic potential is strong\, but is extremely difficult to solve numerically. Recently\, we have developed several operator splitting methods to efficiently and stably solve the nonlinear PB equation in a pseudo-transient continuation approach. The operator splitting framework enables an analytical integration of the nonlinear term that suppresses the nonlinear instability. Fully implicit alternating direction implicit (ADI) and locally one-dimensional (LOD) schemes are formulated to reduce 3D linear systems into 1D ones. Central finite difference discretization is conducted in space\, which yields a tridiagonal structure for 1D systems. The LOD methods are found to be unconditionally stable in dealing with real proteins with source singularities and nonsmooth solutions. By using a large time increment\, the optimized LOD method becomes over 20 times faster in electrostatic free energy analysis\, without sacrificing the precision. The resulting PB solver scales linearly with respect to the number of atoms\, and is promising for studying large macromolecules. Location: Lind 305\, Mathematics of Biological Charge Transport: Molecules and Beyond(SW7.20-24.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.20-24.15/
Location: Lind 305
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea6c86f6
DTSTAMP:20150703T152000
DTSTART:20150721T110500
DTEND:20150721T111000
SUMMARY:Group Photo[11:05am-11:10am]
DESCRIPTION: Group Photo [ Location: Lind 305\, Mathematics of Biological Charge Transport: Molecules and Beyond(SW7.20-24.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.20-24.15/
Location: Lind 305
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea6ca204
DTSTAMP:20150703T152000
DTSTART:20150721T111000
DTEND:20150721T113000
SUMMARY:Break[11:10am-11:30am]
DESCRIPTION: Break [ Location: Lind Hall 400\, Mathematics of Biological Charge Transport: Molecules and Beyond(SW7.20-24.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.20-24.15/
Location: Lind Hall 400
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea6cca4b
DTSTAMP:20150703T152000
DTSTART:20150721T113000
DTEND:20150721T122000
SUMMARY:Lecture[11:30am-12:20pm]
DESCRIPTION: Lecture Lianqing Zheng\, Florida State University [ Location: Lind 305\, Mathematics of Biological Charge Transport: Molecules and Beyond(SW7.20-24.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.20-24.15/
Location: Lind 305
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea6cdd54
DTSTAMP:20150703T152000
DTSTART:20150721T122000
DTEND:20150721T140000
SUMMARY:Lunch[12:20pm-2:00pm]
DESCRIPTION: Lunch [ Mathematics of Biological Charge Transport: Molecules and Beyond(SW7.20-24.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.20-24.15/
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea6d05eb
DTSTAMP:20150703T152000
DTSTART:20150721T140000
DTEND:20150721T145000
SUMMARY:Lecture[2:00pm-2:50pm]
DESCRIPTION: Lecture Robert S. Eisenberg\, Rush University [ Location: Lind 305\, Mathematics of Biological Charge Transport: Molecules and Beyond(SW7.20-24.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.20-24.15/
Location: Lind 305
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea6d2082
DTSTAMP:20150703T152000
DTSTART:20150721T145000
DTEND:20150721T151500
SUMMARY:Break[2:50pm-3:15pm]
DESCRIPTION: Break [ Location: Lind Hall 400\, Mathematics of Biological Charge Transport: Molecules and Beyond(SW7.20-24.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.20-24.15/
Location: Lind Hall 400
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea6d47e3
DTSTAMP:20150703T152000
DTSTART:20150721T151500
DTEND:20150721T160500
SUMMARY:Voltage Sensors\, Capacitance and Excitability[3:15pm-4:05pm]
DESCRIPTION: Voltage Sensors\, Capacitance and Excitability Francisco Bezanilla\, University of Chicago [ Action potentials are the packets of communication in the nervous system. The voltage dependent sodium and potassium channels are the crucial players in the initiation and propagation of the action potential. Voltage sensing in these channels is mediated by the movement of intrinsic charges of the channel proteins in response to changes in the electric field across the cell membrane and they contribute to the non-linear capacitance of the cell membrane. The capacitance may also be affected by temperature changes\, changing the membrane potential and thus initiating action potentials by opening voltage sensing sodium and potassium channels. The movement of the sensing charges can be recorded and studied as gating currents giving information on the conformational changes occurring in voltage-sensitive proteins. One of the big challenges is the correlation of these currents with structural changes within the protein and our present approach is a combination of electrical and spectroscopic techniques. Ultimately\, these results must be interpreted as the physical interaction of the charged regions of the protein with the landscape of energy. Location: Lind 305\, Mathematics of Biological Charge Transport: Molecules and Beyond(SW7.20-24.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.20-24.15/
Location: Lind 305
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea6d6255
DTSTAMP:20150703T152000
DTSTART:20150721T160500
DTEND:20150721T180000
SUMMARY:Poster Session and Reception[4:05pm-6:00pm]
DESCRIPTION: Poster Session and Reception [ Location: Lind Hall 400\, Mathematics of Biological Charge Transport: Molecules and Beyond(SW7.20-24.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.20-24.15/
Location: Lind Hall 400
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea6d7c65
DTSTAMP:20150703T152000
DTSTART:20150722T083000
DTEND:20150722T090000
SUMMARY:Coffee[8:30am-9:00am]
DESCRIPTION: Coffee [ Location: Lind Hall 400\, Mathematics of Biological Charge Transport: Molecules and Beyond(SW7.20-24.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.20-24.15/
Location: Lind Hall 400
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea6da401
DTSTAMP:20150703T152000
DTSTART:20150722T090000
DTEND:20150722T095000
SUMMARY:The Chemical Potential of Membrane Cholesterol Regulates the Metastatic Phenotype in a Cell Culture Model of Breast Cancer[9:00am-9:50am]
DESCRIPTION: The Chemical Potential of Membrane Cholesterol Regulates the Metastatic Phenotype in a Cell Culture Model of Breast Cancer Fredric S Cohen\, Rush University Medical Center [ Chemical potential is the standard\, quantitative thermodynamic measure of the energy of a molecular species in its actual environment. Despite this and the biological importance of cholesterol\, its chemical potential in membranes had never been measured. My laboratory has developed a simple and reliable method to do so. For a variety of cultured cells\, including non-metastatic breast cancer cells\, the chemical potential of cholesterol (µCH)is maintained at a level of about −2.0 kBT per molecule relative to crystalline cholesterol. But for a metastatic breast cancer cell line\, µCH is appreciably greater\, at about −0.5 kBT per molecule. In light of these observations we developed a method to alter and maintain µCH in plasma membranes of cultured cells at any desired level. We found that lowering µCH in the metastatic cell line to that of the non-metastatic line significantly reduced the expression levels of several key proteins implicated in breast cancer progression and metastatic spread. Theoretical hypotheses and modeling could greatly facilitate directions for new experiments and for determining mechanisms. As examples: Why might µCH control the state of cancer cells? If µCH is not artificially set\, why do the cellular values jump between two discrete ranges that are separated by a large difference? Is the transition between states analogous to a phase transition\; if so\, can a model be devised that can be experimentally tested? Location: Lind 305\, Mathematics of Biological Charge Transport: Molecules and Beyond(SW7.20-24.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.20-24.15/
Location: Lind 305
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea6dc040
DTSTAMP:20150703T152000
DTSTART:20150722T095000
DTEND:20150722T101500
SUMMARY:Break[9:50am-10:15am]
DESCRIPTION: Break [ Location: Lind Hall 400\, Mathematics of Biological Charge Transport: Molecules and Beyond(SW7.20-24.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.20-24.15/
Location: Lind Hall 400
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea6deaaf
DTSTAMP:20150703T152000
DTSTART:20150722T101500
DTEND:20150722T110500
SUMMARY:A Charged Nanopore Model for Nanofiltration[10:15am-11:05am]
DESCRIPTION: A Charged Nanopore Model for Nanofiltration Tzyy-Leng Horng\, Feng Chia University [ Nanofiltration (NF) using membranes with numerous nanopores has gained its popularity in water treatment like desalination. Overlapped electric double layer (EDL) in charged nanopores makes the membrane to be ion selective and reach high rejection rate for salts when driving electrolyte through nanopores by pressure. It has its advantage over reverse osmosis (RO) with smaller pressure exerted and larger water throughput. Here a charged nanopore model is used to describe the physics and geometry of NF. Since the salt rejection process involves convection\, diffusion and electro-migration of ions\, joint of Poisson-Nernst-Planck (PNP) and Navier-Stokes (NS) equations is employed to study this problem. Steric effect would be significant inside nanopores\, and a modified model of PNP with steric effect considered is actually used here. The computational results will be compared with traditional 1D model such as DSPM-DE (Donnan Steric Pore Model-Dielectric Exclusion)\, and the mechanism of salt rejection will be discussed. We hope we can gain as much physical insights as possible from such a model of simple geometry\, and apply to much complicated charged nanopores like ion channel on cell membrane in the future. Location: Lind 305\, Mathematics of Biological Charge Transport: Molecules and Beyond(SW7.20-24.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.20-24.15/
Location: Lind 305
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea6e05c1
DTSTAMP:20150703T152000
DTSTART:20150722T110500
DTEND:20150722T113000
SUMMARY:Break[11:05am-11:30am]
DESCRIPTION: Break [ Location: Lind Hall 400\, Mathematics of Biological Charge Transport: Molecules and Beyond(SW7.20-24.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.20-24.15/
Location: Lind Hall 400
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea6e2e06
DTSTAMP:20150703T152000
DTSTART:20150722T113000
DTEND:20150722T122000
SUMMARY:Poisson-Boltzmann Type Models for Electric Double Layers[11:30am-12:20pm]
DESCRIPTION: Poisson-Boltzmann Type Models for Electric Double Layers Tai-Chia Lin\, National Taiwan University [ In this lecture\, two kinds of PB (Poisson-Boltzmann) type models will be introduced for the study of electric double layers\, which include the Debye and Stern layers. One is the CCPB (charge conserved Poisson-Boltzmann) equation and the other is the PB_{ns} equation (new Poisson-Boltzmann equation with steric effects). Using analytical techniques to study the CCPB equation\, we may derive an explicit formula for the mixture of Na^{+}\, Mg^{2+} and Cl^{-} which can be justified by experiments using atomic force microscopy. Under specific parameter regimes\, the PB_{ns} equation (which is obtained by a new approach to the Lennard-Jones potential) may be reduced to the PB type models of D. Andelman (1997) and B. Li (2009). It would be expected that the PB_{ns} equation may have more applications on electrolytes with high concentrations of ions. Location: Lind 305\, Mathematics of Biological Charge Transport: Molecules and Beyond(SW7.20-24.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.20-24.15/
Location: Lind 305
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea6e414e
DTSTAMP:20150703T152000
DTSTART:20150722T122000
DTEND:20150722T140000
SUMMARY:Lunch[12:20pm-2:00pm]
DESCRIPTION: Lunch [ Mathematics of Biological Charge Transport: Molecules and Beyond(SW7.20-24.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.20-24.15/
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea6e68bf
DTSTAMP:20150703T152000
DTSTART:20150722T140000
DTEND:20150722T145000
SUMMARY:Properties of Ionic Flow from Mathematical Analysis of Poisson-Nernst-Planck Systems[2:00pm-2:50pm]
DESCRIPTION: Properties of Ionic Flow from Mathematical Analysis of Poisson-Nernst-Planck Systems Weishi Liu\, University of Kansas [ The talk is on mathematical analysis of primitive Poisson-Nernst-Planck (PNP) models for ionic flows through ion channels. Due to multi-variable and multi-scale features\, and nonlinear interactions presented in the problem\, the study necessarily demands a great deal of mathematical analysis efforts and\, most likely\, new mathematical theory. A geometric singular perturbation framework for analyzing PNP is developed based on advanced nonlinear dynamical systems theory of invariant manifolds and modern geometric singular perturbations. For applications of these general theory to PNP type models\, special structures are revealed that allow more or less explicit characterizations of critical quantities for ionic flows in terms of parameters defining the problem. In turn\, concrete information can be extracted from the analysis to provide direct\, hopefully significant\, insights for mechanisms of ionic flow properties. Location: Lind 305\, Mathematics of Biological Charge Transport: Molecules and Beyond(SW7.20-24.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.20-24.15/
Location: Lind 305
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea6e8443
DTSTAMP:20150703T152000
DTSTART:20150722T145000
DTEND:20150722T151500
SUMMARY:Break[2:50pm-3:15pm]
DESCRIPTION: Break [ Location: Lind Hall 400\, Mathematics of Biological Charge Transport: Molecules and Beyond(SW7.20-24.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.20-24.15/
Location: Lind Hall 400
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea6eaccc
DTSTAMP:20150703T152000
DTSTART:20150722T151500
DTEND:20150722T160500
SUMMARY:Three-Dimensional Numerical Simulation of Ion Nano-channels in the Presence of Mechanical\, Thermal\, and Fluid Forces[3:15pm-4:05pm]
DESCRIPTION: Three-Dimensional Numerical Simulation of Ion Nano-channels in the Presence of Mechanical\, Thermal\, and Fluid Forces Joseph W. Jerome\, Northwestern University [ This talk emphasizes modeling and simulation\, and is collaborative with Aurelio Mauri\, Paolo Airoldi\, and Riccardo Sacco of the Politecnico in Milan. The simulations were carried out using the FEMOS platform. An expanded PNP model is used\, based upon the inclusion of thermal and fluid effects. In addition\, mechanical effects are introduced indirectly\, by allowing mesh distortion to occur via a standard linear elasticity iteration in the algorithmic loop. Various stages of the loop can be turned on or off to determine the relative effects of the model components. The talk does not address the mathematical analysis of the full multicomponent model. Two three-dimensional geometries are chosen for the simulations: hexahedral (slab) and cylindrical. If one views these as alternative extensions of a one-dimensional model\, then significant differences are found due to the geometry. Location: Lind 305\, Mathematics of Biological Charge Transport: Molecules and Beyond(SW7.20-24.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.20-24.15/
Location: Lind 305
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea6ec81f
DTSTAMP:20150703T152000
DTSTART:20150722T160500
DTEND:20150722T170000
SUMMARY:Discussion[4:05pm-5:00pm]
DESCRIPTION: Discussion [ Location: Lind 305\, Mathematics of Biological Charge Transport: Molecules and Beyond(SW7.20-24.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.20-24.15/
Location: Lind 305
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea6edbc2
DTSTAMP:20150703T152000
DTSTART:20150722T200000
DTEND:20150722T210000
SUMMARY:Informal Social Event[8:00pm-9:00pm]
DESCRIPTION: Informal Social Event [ Mathematics of Biological Charge Transport: Molecules and Beyond(SW7.20-24.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.20-24.15/
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea6ef75e
DTSTAMP:20150703T152000
DTSTART:20150723T083000
DTEND:20150723T090000
SUMMARY:Coffee[8:30am-9:00am]
DESCRIPTION: Coffee [ Location: Lind Hall 400\, Mathematics of Biological Charge Transport: Molecules and Beyond(SW7.20-24.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.20-24.15/
Location: Lind Hall 400
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea6f1ff5
DTSTAMP:20150703T152000
DTSTART:20150723T090000
DTEND:20150723T095000
SUMMARY:Kinetic Theories of Age-structured Replication-decay Processes[9:00am-9:50am]
DESCRIPTION: Kinetic Theories of Age-structured Replication-decay Processes Tom Chou\, University of California\, Los Angeles [ Classical age-structured mass-action models such as the McKendrick-von Foerster equation have been extensively studied but they are structurally unable to describe stochastic fluctuations or system-size-dependent birth and death rates. Stochastic theories that treat semi-Markov age-dependent processes using e.g.\, the Bellman-Harris equation\, cannot resolve a population's age-structure and are unable to quantify population-size dependencies. In this talk\, I will present a systematic derivation of a new fully stochastic kinetic theory for interacting age-structured particles. By defining multiparticle probability density functions\, we derive a hierarchy of kinetic equations for the stochastic evolution of an ageing population undergoing birth and death. We show that the fully stochastic age-dependent birth-death process precludes factorization of the corresponding probability densities\, which then must be solved by using a BBGKY-like hierarchy. However\, explicit solutions are derived in two simple limits and compared with their corresponding mean-field results. Our results generalize both deterministic models and existing master equation approaches by providing an intuitive and efficient way to simultaneously model age- and system-size-dependent stochastic dynamics Location: Lind 305\, Mathematics of Biological Charge Transport: Molecules and Beyond(SW7.20-24.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.20-24.15/
Location: Lind 305
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea6f3b5c
DTSTAMP:20150703T152000
DTSTART:20150723T095000
DTEND:20150723T101500
SUMMARY:Break[9:50am-10:15am]
DESCRIPTION: Break [ Location: Lind Hall 400\, Mathematics of Biological Charge Transport: Molecules and Beyond(SW7.20-24.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.20-24.15/
Location: Lind Hall 400
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea70210f
DTSTAMP:20150703T152000
DTSTART:20150723T101500
DTEND:20150723T110500
SUMMARY:Cartilage: Hierarchical Organization of Charged Biopolymers[10:15am-11:05am]
DESCRIPTION: Cartilage: Hierarchical Organization of Charged Biopolymers Ferenc Horkay\, National Institutes of Health [ Understanding the physical and chemical mechanisms affecting cartilage behavior is essential to predict its biomechanical properties\, particularly its load-bearing ability\, which is governed by osmotic and electrostatic forces that strongly depend on tissue hydration. Such understanding is also important for the success of tissue engineering and regenerative medicine strategies to grow\, repair\, and reintegrate cartilage. We have developed a multi-scale experimental approach to determine the structure and dynamics of biopolymer assemblies by combining scattering techniques (small-angle X-ray scattering\, small-angle neutron scattering\, static and dynamic light scattering\, neutron spin-echo) with macroscopic methods (osmotic pressure measurements and mechanical measurements). In cartilage the most abundant proteoglycan is aggrecan a large\, negatively charged bottlebrush shaped molecule whose complexes with hyaluronic acid provide the osmotic resistance of cartilage\, control joint lubrication and protect bone surfaces from wear during articular movement. Osmotic pressure measurements and scattering observations made on aggrecan solutions reveal self-assembly of the bottlebrush molecules into microgels. We found that the structure and dynamic properties of aggrecan assemblies are insensitive to changes in the ionic environment. This behavior is in stark contrast to observations made on highly charged synthetic and biological polyelectrolytes such as poly(acrylic acid) and DNA. The stability of proteoglycan assemblies confers on aggrecan the role of an ion reservoir mediating calcium metabolism in cartilage and bone. Location: Lind 305\, Mathematics of Biological Charge Transport: Molecules and Beyond(SW7.20-24.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.20-24.15/
Location: Lind 305
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea703c42
DTSTAMP:20150703T152000
DTSTART:20150723T110500
DTEND:20150723T113000
SUMMARY:Break[11:05am-11:30am]
DESCRIPTION: Break [ Location: Lind Hall 400\, Mathematics of Biological Charge Transport: Molecules and Beyond(SW7.20-24.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.20-24.15/
Location: Lind Hall 400
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea7063bc
DTSTAMP:20150703T152000
DTSTART:20150723T113000
DTEND:20150723T122000
SUMMARY:Mathematical Models of Neuronal Chemo-Mechanics[11:30am-12:20pm]
DESCRIPTION: Mathematical Models of Neuronal Chemo-Mechanics Corina Stefania Drapaca\, The Pennsylvania State University [ Neurological diseases are caused by mechanical injuries and biochemical imbalances of brain. An understanding of the interconnected nature of the electro-chemo-mechanical phenomena that contribute to the onset and evolution of these diseases is currently lacking. Mathematical models of brain chemo-mechanics and corresponding computer simulations play an important role in highlighting the mechanisms that govern healthy and diseased processes and thus can contribute to the development of effective diagnostic and therapeutic tools. In this talk I will present some mathematical models of neuronal chemo-mechanics that combine classic mechanical models (such as the triphasic model\, the linear visco-elastic Kelvin-Voigt model) characterizing the mechanical behavior of a neuron\, and the classic Hodgkin-Huxley model describing the macroscopic electric dynamics of a neuron. Numerical simulations of possible chemo-mechanical dynamics in neurons will be presented. Location: Lind 305\, Mathematics of Biological Charge Transport: Molecules and Beyond(SW7.20-24.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.20-24.15/
Location: Lind 305
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea707862
DTSTAMP:20150703T152000
DTSTART:20150723T122000
DTEND:20150723T140000
SUMMARY:Lunch[12:20pm-2:00pm]
DESCRIPTION: Lunch [ Mathematics of Biological Charge Transport: Molecules and Beyond(SW7.20-24.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.20-24.15/
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea70a14a
DTSTAMP:20150703T152000
DTSTART:20150723T140000
DTEND:20150723T145000
SUMMARY:Modeling and Computation of Heterogeneous Implicit Solvent and its Applications for Biomolecules[2:00pm-2:50pm]
DESCRIPTION: Modeling and Computation of Heterogeneous Implicit Solvent and its Applications for Biomolecules Duan Chen\, University of North Carolina - Charlotte [ Description of inhomogeneous dielectric properties of a solvent in the vicinity of ions has been attracting research interests in mathematical modeling for many years. From many experimental results\, it has been concluded that the dielectric response of a solvent linearly depends on the ionic strength within a certain range. Based on this assumption\, a new implicit solvent model is proposed in the form of total free en- ergy functional and a quasi-linear Poisson-Boltzmann equation (QPBE) is derived. Classical Newton’s iteration can be used to solve the QPBE numerically but the corresponding Jacobian matrix is complicated due to the quasi-linear term. In the current work\, a systematic formulation of the Jacobian matrix is derived. As an alternative option\, an algorithm mixing the Newton’s iteration and the fixed point method is proposed to avoid the complicated Jacobian matrix\, and it is a more general algorithm for equation with discontinuous coefficients. Computational efficiency and accuracy for these two methods are investigated based on a set of equation parameters. At last\, the QPBE with singular charge source and piece-wisely defined dielectric functions has been applied to analyze electrostatics of macro biomolecules in a complicated solvent. A set of computational algorithms such as interface method\, singular charge removal technique and the Newton- fixed-point iteration are employed to solve the QPBE. Biological applications of the proposed model and algorithms are provided\, including calculation of electrostatic solvation free energy of proteins\, investigation of physical properties of channel pore of an ion channel\, and electrostatics analysis for the segment of a DNA strand. Location: Lind 305\, Mathematics of Biological Charge Transport: Molecules and Beyond(SW7.20-24.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.20-24.15/
Location: Lind 305
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea70bcdb
DTSTAMP:20150703T152000
DTSTART:20150723T145000
DTEND:20150723T151500
SUMMARY:Break[2:50pm-3:15pm]
DESCRIPTION: Break [ Location: Lind Hall 400\, Mathematics of Biological Charge Transport: Molecules and Beyond(SW7.20-24.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.20-24.15/
Location: Lind Hall 400
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea70e4e1
DTSTAMP:20150703T152000
DTSTART:20150723T151500
DTEND:20150723T160500
SUMMARY:Drift-diffusion Simulation of the Ephaptic Effect in the Triad Synapse of the Retina[3:15pm-4:05pm]
DESCRIPTION: Drift-diffusion Simulation of the Ephaptic Effect in the Triad Synapse of the Retina Carl L Gardner\, Arizona State University [ Experimental evidence suggests the existence of a negative feedback pathway between horizontal cells and cone photoreceptors in the outer plexiform layer of the retina that modulates the flow of calcium ions into the synaptic terminals of cones. However\, the underlying mechanism for this feedback is controversial and there are currently three competing hypotheses: the ephaptic hypothesis\, the pH hypothesis\, and the GABA hypothesis. The goal of this investigation is to demonstrate the ephaptic hypothesis by means of detailed numerical simulations. The drift-diffusion (Poisson-Nernst-Planck) model with membrane boundary current equations is applied to a realistic two-dimensional cross-section of the triad synapse in the goldfish retina to verify the existence of strictly electrical feedback\, as predicted by the ephaptic hypothesis. The computed steady-state cone calcium transmembrane current-voltage curves for several cases are presented and compared with experimental data on goldfish. The results provide convincing evidence that an ephaptic mechanism can produce the feedback effect seen in experiments. Location: Lind 305\, Mathematics of Biological Charge Transport: Molecules and Beyond(SW7.20-24.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.20-24.15/
Location: Lind 305
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea710059
DTSTAMP:20150703T152000
DTSTART:20150723T160500
DTEND:20150723T170000
SUMMARY:Discussion[4:05pm-5:00pm]
DESCRIPTION: Discussion [ Location: Lind 305\, Mathematics of Biological Charge Transport: Molecules and Beyond(SW7.20-24.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.20-24.15/
Location: Lind 305
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea7114ed
DTSTAMP:20150703T152000
DTSTART:20150723T200000
DTEND:20150723T210000
SUMMARY:Informal Social Event[8:00pm-9:00pm]
DESCRIPTION: Informal Social Event [ Mathematics of Biological Charge Transport: Molecules and Beyond(SW7.20-24.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.20-24.15/
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea71315a
DTSTAMP:20150703T152000
DTSTART:20150724T083000
DTEND:20150724T090000
SUMMARY:Coffee[8:30am-9:00am]
DESCRIPTION: Coffee [ Location: Lind Hall 400\, Mathematics of Biological Charge Transport: Molecules and Beyond(SW7.20-24.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.20-24.15/
Location: Lind Hall 400
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea715924
DTSTAMP:20150703T152000
DTSTART:20150724T090000
DTEND:20150724T095000
SUMMARY:Membrane Fluctuation and Dynamics Under an Electric Field[9:00am-9:50am]
DESCRIPTION: Membrane Fluctuation and Dynamics Under an Electric Field Yuan-Nan Young\, New Jersey Institute of Technology [ Membrane fluctuation and dynamics under an electric field is investigated\, and results show that the membrane instability and dynamics depend not only on the mismatch in conductivity and permittivity between the bulk fluids\, but also on the membrane charging time. In addition\, the (entropic) membrane tension is found to depend on the electric field. Lubrication theory is utilized to examine the nonlinear dynamics of a planar lipid bilayer membrane with and without electrokinetics. Location: Lind 305\, Mathematics of Biological Charge Transport: Molecules and Beyond(SW7.20-24.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.20-24.15/
Location: Lind 305
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea7173fa
DTSTAMP:20150703T152000
DTSTART:20150724T095000
DTEND:20150724T101500
SUMMARY:Break[9:50am-10:15am]
DESCRIPTION: Break [ Location: Lind Hall 400\, Mathematics of Biological Charge Transport: Molecules and Beyond(SW7.20-24.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.20-24.15/
Location: Lind Hall 400
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea719cf8
DTSTAMP:20150703T152000
DTSTART:20150724T101500
DTEND:20150724T110500
SUMMARY:Hemodialysis on Fibre: Asymptotic Modeling[10:15am-11:05am]
DESCRIPTION: Hemodialysis on Fibre: Asymptotic Modeling Qiming Wang\, York University [ We are interested in modeling the ion exchange between the blood and dialysate regions which is related to the kidney disease and some other biological processes. We approach this problem by setting up two coaxially placed tubes with the inner tube surface being a membrane separating the blood and dialysate. Different from some studies in literature\, we couple the fluid flow and ion transportation in the system\, including in the boundary layers (Debye layers) attaching to the membrane surface. Asymptotic reduction has been done by assuming a small aspect ratio of the tubes and proper scalings have been proposed to obtain a coupling between the fluid motion and ion fluxes. We identified a large axial velocity within the layer\, showing the dominating convection. The leading order system\, both in bulk and layers\, has been solved and a coupled system has been derived to describe the ion and electric potential distribution both in bulk and within the layers. For small zeta potential (i.e. the so called excess potential) we show a few preliminary results. Location: Lind 305\, Mathematics of Biological Charge Transport: Molecules and Beyond(SW7.20-24.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.20-24.15/
Location: Lind 305
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea71b84d
DTSTAMP:20150703T152000
DTSTART:20150724T110500
DTEND:20150724T113000
SUMMARY:Break[11:05am-11:30am]
DESCRIPTION: Break [ Location: Lind Hall 400\, Mathematics of Biological Charge Transport: Molecules and Beyond(SW7.20-24.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.20-24.15/
Location: Lind Hall 400
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea71d2aa
DTSTAMP:20150703T152000
DTSTART:20150724T113000
DTEND:20150724T123000
SUMMARY:Discussion[11:30am-12:30pm]
DESCRIPTION: Discussion [ Location: Lind 305\, Mathematics of Biological Charge Transport: Molecules and Beyond(SW7.20-24.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.20-24.15/
Location: Lind 305
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea71f346
DTSTAMP:20150703T152000
DTSTART:20150728T083000
DTEND:20150728T120000
SUMMARY:Introduction to nanoHUB and Uncertainty Quantification[8:30am-12:00pm]
DESCRIPTION: Introduction to nanoHUB and Uncertainty Quantification Alejandro Strachan\, Purdue University [ Uncertainty Quantification in Materials Modeling(SW7.28-31.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.28-31.15/
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea72068a
DTSTAMP:20150703T152000
DTSTART:20150728T120000
DTEND:20150728T133000
SUMMARY:Lunch[12:00pm-1:30pm]
DESCRIPTION: Lunch [ Uncertainty Quantification in Materials Modeling(SW7.28-31.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.28-31.15/
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea722552
DTSTAMP:20150703T152000
DTSTART:20150728T133000
DTEND:20150728T170000
SUMMARY:Roles of Uncertainty Quantification in Materials Science[1:30pm-5:00pm]
DESCRIPTION: Roles of Uncertainty Quantification in Materials Science Ralph Smith\, North Carolina State University [ In this lecture\, we will provide an overview of concepts pertaining to uncertainty quantification (UQ) in the context of materials science. We will begin by motivating pertinent issues in the context of macroscopic models for piezoelectric\, magnetic and shape memory alloys and X-ray absorption to determine the local structure of crystalline materials. We will demonstrate that the basic UQ goal is quantify uncertainties inherent to parameters\, initial and boundary conditions\, measured data\, and models themselves to make predictions with reduced and quantified uncertainties. We will then discuss global sensitivity techniques for parameter selection\, Bayesian model calibration\, sampling and spectral methods for uncertainty propagation\, and issues pertaining to surrogate model construction. The goal is to provide attendees with a basic understanding of issues associated with uncertainty quantification as well as open questions. The development and use of efficient and robust computational algorithms comprises a central component of uncertainty quantification. During the associated lab\, we will use MATLAB code for a recently developed Delayed Rejection Adaptive Metropolis (DRAM) algorithm to construct posterior parameter densities and prediction intervals for a simple nonlinear model. This will provide attendees with initial experience regarding the implementation of Bayesian model calibration and uncertainty propagation algorithms. Uncertainty Quantification in Materials Modeling(SW7.28-31.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.28-31.15/
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea7244b9
DTSTAMP:20150703T152000
DTSTART:20150729T083000
DTEND:20150729T120000
SUMMARY:Introduction to Gaussian Process Regression[8:30am-12:00pm]
DESCRIPTION: Introduction to Gaussian Process Regression Ilias Bilionis\, Purdue University [ Research groups\, national laboratories\, and R&D corporate divisions spend years of development of sophisticated software in order to simulate realistically important physical phenomena. However\, carrying out tasks like uncertainty quantification\, model calibration or design using the fully-fledged model is -in all but the simplest cases- a daunting task\, since a single simulation might take days or even weeks to complete\, even with state-of-the-art modern computing systems. One\, then\, has to resort to computationally inexpensive surrogates of the computer code. The idea is to run the solver on a small\, well-selected set of inputs and then use these data to learn the response surface. The surrogate surface may be subsequently used to carry out any of the computationally intensive engineering tasks. In this part of the workshop\, we provide an introduction to a very successful surrogate building tool known as Gaussian process regression (GPR). The two key characteristics of GPR are that it is non-parametric and Bayesian. GPR’s Bayesian nature allows for the quantification of the epistemic uncertainty induced by limited simulations\, i.e.\, it can provide credibility intervals for its predictions. This uncertainty can be subsequently exploited in order to drive the selection of new simulations in an informative manner. The non-parametric nature provides extreme representational flexibility which can be further enhanced by exploiting prior knowledge about the simulator\, e.g.\, smoothness\, invariance principles\, availability of coarse models\, etc. The lecture assumes only a minimal understanding of the multivariate Gaussian distribution and basic probability theory. The topics we cover are: Gaussian process as a generalization of the multivariate Gaussian distribution\, covariance functions as representations of prior knowledge\, the predictive distribution of GPR\, training the parameters of a covariance function via likelihood maximization\, training the parameters of a covariance function via Markov-Chain-Monte-Carlo (MCMC) sampling of the posterior\, dealing with many outputs\, dealing with the curse of dimensionality\, on the informative selection of the simulations\, applications to uncertainty quantification. Uncertainty Quantification in Materials Modeling(SW7.28-31.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.28-31.15/
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea7257be
DTSTAMP:20150703T152000
DTSTART:20150729T120000
DTEND:20150729T133000
SUMMARY:Lunch[12:00pm-1:30pm]
DESCRIPTION: Lunch [ Uncertainty Quantification in Materials Modeling(SW7.28-31.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.28-31.15/
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea7277d7
DTSTAMP:20150703T152000
DTSTART:20150729T133000
DTEND:20150729T170000
SUMMARY:Application of UQ Principles to Calibration\, Sensitivity\, and Experimental Design[1:30pm-5:00pm]
DESCRIPTION: Application of UQ Principles to Calibration\, Sensitivity\, and Experimental Design Omar M Knio\, Duke University [ This lecture will outline a probabilistic framework for uncertainty quantification\, and will discuss applications of associated methods and algorithms for the purpose of calibrating physical parameters from measured data\, model selection\, and design of experiments so as to optimize information about specific observables. Concepts will be illustrated in light of specific applications to nanofluidics and energetic materials. One of the central goals of the lecture will be highlight the importance of proper setup of the “UQ problem\,” which generally necessitates judicious combination of information originating from diverse disciplines. Uncertainty Quantification in Materials Modeling(SW7.28-31.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.28-31.15/
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea7297d6
DTSTAMP:20150703T152000
DTSTART:20150730T083000
DTEND:20150730T120000
SUMMARY:Designing Pseudopotentials for Density Functional Theory[8:30am-12:00pm]
DESCRIPTION: Designing Pseudopotentials for Density Functional Theory Kevin Garrity\, National Institute of Standards and Technology [ All practical electronic structure methods require a numerical basis set that can treat both the core electrons and valence electrons of a given material in an efficient manner\, despite the large difference in energy scales between them. In the popular plane-waves plus pseudopotential scheme\, the valence electrons are described by plane-waves\, which move in an effective potential produced by the combination of the atomic nuclei and the core electrons\, which are described by pseudopotentials. Such a basis set can produce highly accurate results with a relatively small number of plane-waves\, but depends crucially on the quality of the pseudopotentials used. This this lecture + lab\, we will learn how to design and test pseudopotentials\, and we will explore the trade-offs between accuracy and efficiency inherent in this technique. Uncertainty Quantification in Materials Modeling(SW7.28-31.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.28-31.15/
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea72aae2
DTSTAMP:20150703T152000
DTSTART:20150730T120000
DTEND:20150730T133000
SUMMARY:Lunch[12:00pm-1:30pm]
DESCRIPTION: Lunch [ Uncertainty Quantification in Materials Modeling(SW7.28-31.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.28-31.15/
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea72cb0c
DTSTAMP:20150703T152000
DTSTART:20150730T133000
DTEND:20150730T170000
SUMMARY:The Role of Uncertainty Quantification in Model Verification and Validation[1:30pm-5:00pm]
DESCRIPTION: The Role of Uncertainty Quantification in Model Verification and Validation David Riha\, Southwest Research Institute [ Uncertainty quantification plays a critical role in establishing model prediction capability and credibility. Model verification and validation (V&V) frameworks have been developed for the fluid mechanics\, solid mechanics\, and integrated computational materials engineering (ICME) disciplines as well as organization specific guidance for NASA and the U.S. Department of Defense to address the need to confirm that model predictions are sufficiently accurate to support programmatic decisions. This tutorial will introduce concepts of model V&V and how uncertainty analysis is used to support the process. A realistic case study based on a model developed to predict the temperature dependent yield strength of nickel-based superalloys will be used to introduce concepts and demonstrate analysis strategies for identifying\, quantifying\, and reducing uncertainty in the model predictions. The attendees will use the NESSUS® probabilistic analysis software to model and propagate uncertainties through the yield strength model\, compute global sensitivities to identify important uncertainties\, and calibrate model inputs to reduce uncertainties. Practical aspects of uncertainty quantification and the communication of results for decision making will be emphasized. Uncertainty Quantification in Materials Modeling(SW7.28-31.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.28-31.15/
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea72eaba
DTSTAMP:20150703T152000
DTSTART:20150731T083000
DTEND:20150731T091000
SUMMARY:State of the Art and Recent Progress in Uncertainty Quantification for Electronic Systems (i.e. Variation-Aware or Stochastic Simulation)[8:30am-9:10am]
DESCRIPTION: State of the Art and Recent Progress in Uncertainty Quantification for Electronic Systems (i.e. Variation-Aware or Stochastic Simulation) Luca Daniel\, Massachusetts Institute of Technology [ On-chip and off chip fabrication process variations have become a major concern in today’s electronic systems design since they can significantly degrade systems’ performance. In order to predict and quantify such degradation\, existing commercial circuit and MEMS simulators mostly rely only on the well known Monte Carlo algorithm. However during the last decade a large variety of more sophisticated and efficient alternative approaches have been proposed to accelerate such critical task. This talk will first review the state of the art of most modern intrusive and sampling-based uncertainty quantification techniques. It will then conclude showing in particular how parameterized model reduction\, low-rank polynomial chaos expansions and hierarchical techniques can be used to accelerate most uncertainty quantification tools and to handle the curse of dimensionality. Uncertainty Quantification in Materials Modeling(SW7.28-31.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.28-31.15/
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea730ad3
DTSTAMP:20150703T152000
DTSTART:20150731T091000
DTEND:20150731T095000
SUMMARY:Optimal Filters for High-Speed Compressive Detection in Spectroscopy [9:10am-9:50am]
DESCRIPTION: Optimal Filters for High-Speed Compressive Detection in Spectroscopy Greg Buzzard\, Purdue University [ A key bottleneck to high-speed chemical analysis is the time required to collect and analyze chemical spectral data. One approach to overcoming this problem is based on a new type of filter\, in which energy from multiple frequencies is aggregated in order to reduce noise effects and decrease the total number of measurements needed for a given purpose. In this talk I describe the mathematical formulation of this problem and describe results on the selection of optimal filters for estimation of the chemical composition of a sample and estimation of the associated uncertainty. Uncertainty Quantification in Materials Modeling(SW7.28-31.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.28-31.15/
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea732a24
DTSTAMP:20150703T152000
DTSTART:20150731T095000
DTEND:20150731T103000
SUMMARY:Quantifying the Influence of Conformational Uncertainty in Biomolecular Solvation Using a L1 Minimization with Basis Rotation Algorithm[9:50am-10:30am]
DESCRIPTION: Quantifying the Influence of Conformational Uncertainty in Biomolecular Solvation Using a L1 Minimization with Basis Rotation Algorithm \, [ Biomolecules exhibit conformation fluctuations near equilibrium states\, inducing uncertainty in various biological properties. We have developed a L1 minimization with basis rotation algorithm to quantify this uncertainty using a generalized polynomial chaos expansion on collective variables identified using the active subspace method. The method is demonstrated on solvation properties and shown to yield a more accurate response surface than standard sparse grid collocation methods. Our framework is generalizable and can be used to investigate uncertainty in numerous biomolecular properties. Uncertainty Quantification in Materials Modeling(SW7.28-31.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.28-31.15/
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea733c9b
DTSTAMP:20150703T152000
DTSTART:20150731T103000
DTEND:20150731T104500
SUMMARY:Break[10:30am-10:45am]
DESCRIPTION: Break [ Uncertainty Quantification in Materials Modeling(SW7.28-31.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.28-31.15/
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea735b3f
DTSTAMP:20150703T152000
DTSTART:20150731T104500
DTEND:20150731T110000
SUMMARY:Pertinent and Exciting Uncertainty Quantification Problem Spaces in Materials and Manufacturing[10:45am-11:00am]
DESCRIPTION: Pertinent and Exciting Uncertainty Quantification Problem Spaces in Materials and Manufacturing Amanda Criner\, US Air Force Research Laboratory [ The applications of developments in uncertainty quantification for materials science and engineering are diverse and plentiful. There are opportunities in each stage of a materials' lifetime from discovery to manufacturing and processing to sustainment. These problem spaces span each material length scale and the connections between them. Each material class and application have unique challenges that require new developments and applications of uncertainty quantification techniques. A summary of a few exciting problem spaces will be given to demonstrate the breadth of pertinent uncertainty quantification problems to materials and manufacturing. Uncertainty Quantification in Materials Modeling(SW7.28-31.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.28-31.15/
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea737abe
DTSTAMP:20150703T152000
DTSTART:20150731T110000
DTEND:20150731T111500
SUMMARY:Sensitivity Analysis of Multiscale Reaction Networks with Stochastic Averaging[11:00am-11:15am]
DESCRIPTION: Sensitivity Analysis of Multiscale Reaction Networks with Stochastic Averaging Araz Hashemi\, University of Delaware [ Monte Carlo methods\, such as Gillespie’s direct SSA\, are widely used to simulate chemical reaction networks. These simulations can then be used to estimate properties such as the mean value of an observable at some time horizon\, or the sensitivity of mean values with respect to system parameter. However\, when there are multiscale dynamics in the reaction network\, direct simulation methods become ineffective because they can only advance the system on the smallest scale. This results in a prohibitive computational burden to reach a time horizon for the large scale dynamics. We shall show how stochastic averaging may be employed to speed computations and obtain estimates of mean values and sensitivities with respect to the steady state distribution. Further\, we shall establish bounds which show the bias induced by the averaging method decays to zero as the disparity between the scales increases. This talk presents joint work with P. Plechac\, M. Nunez\, and D. G. Vlachos. Uncertainty Quantification in Materials Modeling(SW7.28-31.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.28-31.15/
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea738d1e
DTSTAMP:20150703T152000
DTSTART:20150731T113000
DTEND:20150731T120000
SUMMARY:Closing Remarks[11:30am-12:00pm]
DESCRIPTION: Closing Remarks [ Uncertainty Quantification in Materials Modeling(SW7.28-31.15) ]
URL;VALUE=URI:http://www.ima.umn.edu/2014-2015/SW7.28-31.15/
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UID:imaevent-5596eea73ea71
DTSTART;VALUE=DATE:20150720
DTSTAMP:20150703T152000
SUMMARY:Modern Harmonic Analysis and Applications[PISG7.20-8.7.15]
DESCRIPTION: Modern Harmonic Analysis and Applications
CREATED:20150703T152000
DTEND;VALUE=DATE:20150721
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UID:imaevent-5596eea73ec18
DTSTART;VALUE=DATE:20150721
DTSTAMP:20150703T152000
SUMMARY:Modern Harmonic Analysis and Applications[PISG7.20-8.7.15]
DESCRIPTION: Modern Harmonic Analysis and Applications
CREATED:20150703T152000
DTEND;VALUE=DATE:20150722
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UID:imaevent-5596eea73edbb
DTSTART;VALUE=DATE:20150722
DTSTAMP:20150703T152000
SUMMARY:Modern Harmonic Analysis and Applications[PISG7.20-8.7.15]
DESCRIPTION: Modern Harmonic Analysis and Applications
CREATED:20150703T152000
DTEND;VALUE=DATE:20150723
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UID:imaevent-5596eea73ef19
DTSTART;VALUE=DATE:20150723
DTSTAMP:20150703T152000
SUMMARY:Modern Harmonic Analysis and Applications[PISG7.20-8.7.15]
DESCRIPTION: Modern Harmonic Analysis and Applications
CREATED:20150703T152000
DTEND;VALUE=DATE:20150724
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UID:imaevent-5596eea73f0b1
DTSTART;VALUE=DATE:20150724
DTSTAMP:20150703T152000
SUMMARY:Modern Harmonic Analysis and Applications[PISG7.20-8.7.15]
DESCRIPTION: Modern Harmonic Analysis and Applications
CREATED:20150703T152000
DTEND;VALUE=DATE:20150725
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UID:imaevent-5596eea73f24f
DTSTART;VALUE=DATE:20150725
DTSTAMP:20150703T152000
SUMMARY:Modern Harmonic Analysis and Applications[PISG7.20-8.7.15]
DESCRIPTION: Modern Harmonic Analysis and Applications
CREATED:20150703T152000
DTEND;VALUE=DATE:20150726
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UID:imaevent-5596eea73f3ea
DTSTART;VALUE=DATE:20150726
DTSTAMP:20150703T152000
SUMMARY:Modern Harmonic Analysis and Applications[PISG7.20-8.7.15]
DESCRIPTION: Modern Harmonic Analysis and Applications
CREATED:20150703T152000
DTEND;VALUE=DATE:20150727
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BEGIN:VEVENT
UID:imaevent-5596eea73f586
DTSTART;VALUE=DATE:20150727
DTSTAMP:20150703T152000
SUMMARY:Modern Harmonic Analysis and Applications[PISG7.20-8.7.15]
DESCRIPTION: Modern Harmonic Analysis and Applications
CREATED:20150703T152000
DTEND;VALUE=DATE:20150728
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UID:imaevent-5596eea73f722
DTSTART;VALUE=DATE:20150728
DTSTAMP:20150703T152000
SUMMARY:Modern Harmonic Analysis and Applications[PISG7.20-8.7.15]
DESCRIPTION: Modern Harmonic Analysis and Applications
CREATED:20150703T152000
DTEND;VALUE=DATE:20150729
END:VEVENT
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UID:imaevent-5596eea73f8ed
DTSTART;VALUE=DATE:20150729
DTSTAMP:20150703T152000
SUMMARY:Modern Harmonic Analysis and Applications[PISG7.20-8.7.15]
DESCRIPTION: Modern Harmonic Analysis and Applications
CREATED:20150703T152000
DTEND;VALUE=DATE:20150730
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea73fa8c
DTSTART;VALUE=DATE:20150730
DTSTAMP:20150703T152000
SUMMARY:Modern Harmonic Analysis and Applications[PISG7.20-8.7.15]
DESCRIPTION: Modern Harmonic Analysis and Applications
CREATED:20150703T152000
DTEND;VALUE=DATE:20150731
END:VEVENT
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UID:imaevent-5596eea73fc2b
DTSTART;VALUE=DATE:20150731
DTSTAMP:20150703T152000
SUMMARY:Modern Harmonic Analysis and Applications[PISG7.20-8.7.15]
DESCRIPTION: Modern Harmonic Analysis and Applications
CREATED:20150703T152000
DTEND;VALUE=DATE:20150732
END:VEVENT
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UID:imaevent-5596eea73fdc8
DTSTART;VALUE=DATE:20150801
DTSTAMP:20150703T152000
SUMMARY:Modern Harmonic Analysis and Applications[PISG7.20-8.7.15]
DESCRIPTION: Modern Harmonic Analysis and Applications
CREATED:20150703T152000
DTEND;VALUE=DATE:20150802
END:VEVENT
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UID:imaevent-5596eea73ff8b
DTSTART;VALUE=DATE:20150802
DTSTAMP:20150703T152000
SUMMARY:Modern Harmonic Analysis and Applications[PISG7.20-8.7.15]
DESCRIPTION: Modern Harmonic Analysis and Applications
CREATED:20150703T152000
DTEND;VALUE=DATE:20150803
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea740189
DTSTART;VALUE=DATE:20150803
DTSTAMP:20150703T152000
SUMMARY:Modern Harmonic Analysis and Applications[PISG7.20-8.7.15]
DESCRIPTION: Modern Harmonic Analysis and Applications
CREATED:20150703T152000
DTEND;VALUE=DATE:20150804
END:VEVENT
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UID:imaevent-5596eea740328
DTSTART;VALUE=DATE:20150804
DTSTAMP:20150703T152000
SUMMARY:Modern Harmonic Analysis and Applications[PISG7.20-8.7.15]
DESCRIPTION: Modern Harmonic Analysis and Applications
CREATED:20150703T152000
DTEND;VALUE=DATE:20150805
END:VEVENT
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UID:imaevent-5596eea7404c5
DTSTART;VALUE=DATE:20150805
DTSTAMP:20150703T152000
SUMMARY:Modern Harmonic Analysis and Applications[PISG7.20-8.7.15]
DESCRIPTION: Modern Harmonic Analysis and Applications
CREATED:20150703T152000
DTEND;VALUE=DATE:20150806
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UID:imaevent-5596eea740660
DTSTART;VALUE=DATE:20150806
DTSTAMP:20150703T152000
SUMMARY:Modern Harmonic Analysis and Applications[PISG7.20-8.7.15]
DESCRIPTION: Modern Harmonic Analysis and Applications
CREATED:20150703T152000
DTEND;VALUE=DATE:20150807
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UID:imaevent-5596eea74080f
DTSTART;VALUE=DATE:20150807
DTSTAMP:20150703T152000
SUMMARY:Modern Harmonic Analysis and Applications[PISG7.20-8.7.15]
DESCRIPTION: Modern Harmonic Analysis and Applications
CREATED:20150703T152000
DTEND;VALUE=DATE:20150808
END:VEVENT
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UID:imaevent-5596eea7409cb
DTSTART;VALUE=DATE:20150720
DTSTAMP:20150703T152000
SUMMARY:IMA-MathCEP Math Modeling Camp for High School Students[SWb7.20-24.15]
DESCRIPTION: IMA-MathCEP Math Modeling Camp for High School Students
CREATED:20150703T152000
DTEND;VALUE=DATE:20150721
END:VEVENT
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UID:imaevent-5596eea740b63
DTSTART;VALUE=DATE:20150721
DTSTAMP:20150703T152000
SUMMARY:IMA-MathCEP Math Modeling Camp for High School Students[SWb7.20-24.15]
DESCRIPTION: IMA-MathCEP Math Modeling Camp for High School Students
CREATED:20150703T152000
DTEND;VALUE=DATE:20150722
END:VEVENT
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UID:imaevent-5596eea740cf6
DTSTART;VALUE=DATE:20150722
DTSTAMP:20150703T152000
SUMMARY:IMA-MathCEP Math Modeling Camp for High School Students[SWb7.20-24.15]
DESCRIPTION: IMA-MathCEP Math Modeling Camp for High School Students
CREATED:20150703T152000
DTEND;VALUE=DATE:20150723
END:VEVENT
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UID:imaevent-5596eea740e89
DTSTART;VALUE=DATE:20150723
DTSTAMP:20150703T152000
SUMMARY:IMA-MathCEP Math Modeling Camp for High School Students[SWb7.20-24.15]
DESCRIPTION: IMA-MathCEP Math Modeling Camp for High School Students
CREATED:20150703T152000
DTEND;VALUE=DATE:20150724
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea74101a
DTSTART;VALUE=DATE:20150724
DTSTAMP:20150703T152000
SUMMARY:IMA-MathCEP Math Modeling Camp for High School Students[SWb7.20-24.15]
DESCRIPTION: IMA-MathCEP Math Modeling Camp for High School Students
CREATED:20150703T152000
DTEND;VALUE=DATE:20150725
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea741205
DTSTART;VALUE=DATE:20150805
DTSTAMP:20150703T152000
SUMMARY:Math Modeling in Industry XIX[MM8.5-14.15]
DESCRIPTION: Math Modeling in Industry XIX
CREATED:20150703T152000
DTEND;VALUE=DATE:20150806
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea7413a3
DTSTART;VALUE=DATE:20150806
DTSTAMP:20150703T152000
SUMMARY:Math Modeling in Industry XIX[MM8.5-14.15]
DESCRIPTION: Math Modeling in Industry XIX
CREATED:20150703T152000
DTEND;VALUE=DATE:20150807
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea74153d
DTSTART;VALUE=DATE:20150807
DTSTAMP:20150703T152000
SUMMARY:Math Modeling in Industry XIX[MM8.5-14.15]
DESCRIPTION: Math Modeling in Industry XIX
CREATED:20150703T152000
DTEND;VALUE=DATE:20150808
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UID:imaevent-5596eea7416d7
DTSTART;VALUE=DATE:20150808
DTSTAMP:20150703T152000
SUMMARY:Math Modeling in Industry XIX[MM8.5-14.15]
DESCRIPTION: Math Modeling in Industry XIX
CREATED:20150703T152000
DTEND;VALUE=DATE:20150809
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea741880
DTSTART;VALUE=DATE:20150809
DTSTAMP:20150703T152000
SUMMARY:Math Modeling in Industry XIX[MM8.5-14.15]
DESCRIPTION: Math Modeling in Industry XIX
CREATED:20150703T152000
DTEND;VALUE=DATE:20150810
END:VEVENT
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UID:imaevent-5596eea741a20
DTSTART;VALUE=DATE:20150810
DTSTAMP:20150703T152000
SUMMARY:Math Modeling in Industry XIX[MM8.5-14.15]
DESCRIPTION: Math Modeling in Industry XIX
CREATED:20150703T152000
DTEND;VALUE=DATE:20150811
END:VEVENT
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UID:imaevent-5596eea741bbc
DTSTART;VALUE=DATE:20150811
DTSTAMP:20150703T152000
SUMMARY:Math Modeling in Industry XIX[MM8.5-14.15]
DESCRIPTION: Math Modeling in Industry XIX
CREATED:20150703T152000
DTEND;VALUE=DATE:20150812
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea741d57
DTSTART;VALUE=DATE:20150812
DTSTAMP:20150703T152000
SUMMARY:Math Modeling in Industry XIX[MM8.5-14.15]
DESCRIPTION: Math Modeling in Industry XIX
CREATED:20150703T152000
DTEND;VALUE=DATE:20150813
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea741f16
DTSTART;VALUE=DATE:20150813
DTSTAMP:20150703T152000
SUMMARY:Math Modeling in Industry XIX[MM8.5-14.15]
DESCRIPTION: Math Modeling in Industry XIX
CREATED:20150703T152000
DTEND;VALUE=DATE:20150814
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea7420b1
DTSTART;VALUE=DATE:20150814
DTSTAMP:20150703T152000
SUMMARY:Math Modeling in Industry XIX[MM8.5-14.15]
DESCRIPTION: Math Modeling in Industry XIX
CREATED:20150703T152000
DTEND;VALUE=DATE:20150815
END:VEVENT
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UID:imaevent-5596eea742263
DTSTART;VALUE=DATE:20150928
DTSTAMP:20150703T152000
SUMMARY:Distributed Control and Decision Making Over Networks[W9.28-10.2.15]
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CREATED:20150703T152000
DTEND;VALUE=DATE:20150929
END:VEVENT
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UID:imaevent-5596eea7423ef
DTSTART;VALUE=DATE:20150929
DTSTAMP:20150703T152000
SUMMARY:Distributed Control and Decision Making Over Networks[W9.28-10.2.15]
DESCRIPTION: Distributed Control and Decision Making Over Networks
CREATED:20150703T152000
DTEND;VALUE=DATE:20150930
END:VEVENT
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UID:imaevent-5596eea742578
DTSTART;VALUE=DATE:20150930
DTSTAMP:20150703T152000
SUMMARY:Distributed Control and Decision Making Over Networks[W9.28-10.2.15]
DESCRIPTION: Distributed Control and Decision Making Over Networks
CREATED:20150703T152000
DTEND;VALUE=DATE:20150931
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UID:imaevent-5596eea742720
DTSTART;VALUE=DATE:20151001
DTSTAMP:20150703T152000
SUMMARY:Distributed Control and Decision Making Over Networks[W9.28-10.2.15]
DESCRIPTION: Distributed Control and Decision Making Over Networks
CREATED:20150703T152000
DTEND;VALUE=DATE:20151002
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UID:imaevent-5596eea7428ac
DTSTART;VALUE=DATE:20151002
DTSTAMP:20150703T152000
SUMMARY:Distributed Control and Decision Making Over Networks[W9.28-10.2.15]
DESCRIPTION: Distributed Control and Decision Making Over Networks
CREATED:20150703T152000
DTEND;VALUE=DATE:20151003
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DTSTAMP:20150703T152000
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CREATED:20150703T152000
DTEND;VALUE=DATE:20151020
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DTSTAMP:20150703T152000
SUMMARY:Analysis and Control of Network Dynamics[W10.19-23.15]
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CREATED:20150703T152000
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DTSTART;VALUE=DATE:20151021
DTSTAMP:20150703T152000
SUMMARY:Analysis and Control of Network Dynamics[W10.19-23.15]
DESCRIPTION: Analysis and Control of Network Dynamics
CREATED:20150703T152000
DTEND;VALUE=DATE:20151022
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DTSTART;VALUE=DATE:20151022
DTSTAMP:20150703T152000
SUMMARY:Analysis and Control of Network Dynamics[W10.19-23.15]
DESCRIPTION: Analysis and Control of Network Dynamics
CREATED:20150703T152000
DTEND;VALUE=DATE:20151023
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DTSTART;VALUE=DATE:20151023
DTSTAMP:20150703T152000
SUMMARY:Analysis and Control of Network Dynamics[W10.19-23.15]
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CREATED:20150703T152000
DTEND;VALUE=DATE:20151024
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DTSTAMP:20150703T152000
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CREATED:20150703T152000
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DTSTAMP:20150703T152000
SUMMARY:Mathematics and Mechanics in the 22nd Century: Seven Decades and Counting...[SW10.23-25.15]
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CREATED:20150703T152000
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DTSTAMP:20150703T152000
SUMMARY:Mathematics and Mechanics in the 22nd Century: Seven Decades and Counting...[SW10.23-25.15]
DESCRIPTION: Mathematics and Mechanics in the 22nd Century: Seven Decades and Counting...
CREATED:20150703T152000
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DTSTART;VALUE=DATE:20151102
DTSTAMP:20150703T152000
SUMMARY:Fifth Abel Conference: Celebrating the Mathematical Impact of John F. Nash Jr. and Louis Nirenberg[SW11.2-4.15]
DESCRIPTION: Fifth Abel Conference: Celebrating the Mathematical Impact of John F. Nash Jr. and Louis Nirenberg
CREATED:20150703T152000
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DTSTAMP:20150703T152000
SUMMARY:Fifth Abel Conference: Celebrating the Mathematical Impact of John F. Nash Jr. and Louis Nirenberg[SW11.2-4.15]
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DTSTAMP:20150703T152000
SUMMARY:Fifth Abel Conference: Celebrating the Mathematical Impact of John F. Nash Jr. and Louis Nirenberg[SW11.2-4.15]
DESCRIPTION: Fifth Abel Conference: Celebrating the Mathematical Impact of John F. Nash Jr. and Louis Nirenberg
CREATED:20150703T152000
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DTSTART;VALUE=DATE:20151116
DTSTAMP:20150703T152000
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DESCRIPTION: Biological Systems and Networks
CREATED:20150703T152000
DTEND;VALUE=DATE:20151117
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DTSTART;VALUE=DATE:20151117
DTSTAMP:20150703T152000
SUMMARY:Biological Systems and Networks[W11.16-20.15]
DESCRIPTION: Biological Systems and Networks
CREATED:20150703T152000
DTEND;VALUE=DATE:20151118
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DTSTAMP:20150703T152000
SUMMARY:Biological Systems and Networks[W11.16-20.15]
DESCRIPTION: Biological Systems and Networks
CREATED:20150703T152000
DTEND;VALUE=DATE:20151119
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SUMMARY:Biological Systems and Networks[W11.16-20.15]
DESCRIPTION: Biological Systems and Networks
CREATED:20150703T152000
DTEND;VALUE=DATE:20151120
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DTSTART;VALUE=DATE:20151120
DTSTAMP:20150703T152000
SUMMARY:Biological Systems and Networks[W11.16-20.15]
DESCRIPTION: Biological Systems and Networks
CREATED:20150703T152000
DTEND;VALUE=DATE:20151121
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UID:imaevent-5596eea7445fd
DTSTART;VALUE=DATE:20160125
DTSTAMP:20150703T152000
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DESCRIPTION: Optimization and Parsimonious Modeling
CREATED:20150703T152000
DTEND;VALUE=DATE:20160126
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UID:imaevent-5596eea744788
DTSTART;VALUE=DATE:20160126
DTSTAMP:20150703T152000
SUMMARY:Optimization and Parsimonious Modeling[W1.25-29.16]
DESCRIPTION: Optimization and Parsimonious Modeling
CREATED:20150703T152000
DTEND;VALUE=DATE:20160127
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DTSTART;VALUE=DATE:20160127
DTSTAMP:20150703T152000
SUMMARY:Optimization and Parsimonious Modeling[W1.25-29.16]
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CREATED:20150703T152000
DTEND;VALUE=DATE:20160128
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DTSTART;VALUE=DATE:20160128
DTSTAMP:20150703T152000
SUMMARY:Optimization and Parsimonious Modeling[W1.25-29.16]
DESCRIPTION: Optimization and Parsimonious Modeling
CREATED:20150703T152000
DTEND;VALUE=DATE:20160129
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DTSTAMP:20150703T152000
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CREATED:20150703T152000
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DTSTAMP:20150703T152000
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DESCRIPTION: Computational Methods for Control of Infinite-dimensional Systems
CREATED:20150703T152000
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DTSTART;VALUE=DATE:20160315
DTSTAMP:20150703T152000
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DESCRIPTION: Computational Methods for Control of Infinite-dimensional Systems
CREATED:20150703T152000
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DTSTAMP:20150703T152000
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DESCRIPTION: Computational Methods for Control of Infinite-dimensional Systems
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DESCRIPTION: Computational Methods for Control of Infinite-dimensional Systems
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DTSTAMP:20150703T152000
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DESCRIPTION: Computational Methods for Control of Infinite-dimensional Systems
CREATED:20150703T152000
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DESCRIPTION: Quantum and Nano Control
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DESCRIPTION: Quantum and Nano Control
CREATED:20150703T152000
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SUMMARY:Quantum and Nano Control[W4.11-15.16]
DESCRIPTION: Quantum and Nano Control
CREATED:20150703T152000
DTEND;VALUE=DATE:20160414
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DESCRIPTION: Quantum and Nano Control
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DTSTART;VALUE=DATE:20160415
DTSTAMP:20150703T152000
SUMMARY:Quantum and Nano Control[W4.11-15.16]
DESCRIPTION: Quantum and Nano Control
CREATED:20150703T152000
DTEND;VALUE=DATE:20160416
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea745de7
DTSTART;VALUE=DATE:20160509
DTSTAMP:20150703T152000
SUMMARY:Control at Large Scales: Energy Markets and Responsive Grids[W5.9-13.16]
DESCRIPTION: Control at Large Scales: Energy Markets and Responsive Grids
CREATED:20150703T152000
DTEND;VALUE=DATE:20160510
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea745f67
DTSTART;VALUE=DATE:20160510
DTSTAMP:20150703T152000
SUMMARY:Control at Large Scales: Energy Markets and Responsive Grids[W5.9-13.16]
DESCRIPTION: Control at Large Scales: Energy Markets and Responsive Grids
CREATED:20150703T152000
DTEND;VALUE=DATE:20160511
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea7460e5
DTSTART;VALUE=DATE:20160511
DTSTAMP:20150703T152000
SUMMARY:Control at Large Scales: Energy Markets and Responsive Grids[W5.9-13.16]
DESCRIPTION: Control at Large Scales: Energy Markets and Responsive Grids
CREATED:20150703T152000
DTEND;VALUE=DATE:20160512
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea746263
DTSTART;VALUE=DATE:20160512
DTSTAMP:20150703T152000
SUMMARY:Control at Large Scales: Energy Markets and Responsive Grids[W5.9-13.16]
DESCRIPTION: Control at Large Scales: Energy Markets and Responsive Grids
CREATED:20150703T152000
DTEND;VALUE=DATE:20160513
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea7463fc
DTSTART;VALUE=DATE:20160513
DTSTAMP:20150703T152000
SUMMARY:Control at Large Scales: Energy Markets and Responsive Grids[W5.9-13.16]
DESCRIPTION: Control at Large Scales: Energy Markets and Responsive Grids
CREATED:20150703T152000
DTEND;VALUE=DATE:20160514
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea7465a8
DTSTART;VALUE=DATE:20160516
DTSTAMP:20150703T152000
SUMMARY:Resource Tradeoffs: Computation\, Communication and Information[SW5.16-20.16]
DESCRIPTION: Resource Tradeoffs: Computation\, Communication and Information
CREATED:20150703T152000
DTEND;VALUE=DATE:20160517
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea74671e
DTSTART;VALUE=DATE:20160517
DTSTAMP:20150703T152000
SUMMARY:Resource Tradeoffs: Computation\, Communication and Information[SW5.16-20.16]
DESCRIPTION: Resource Tradeoffs: Computation\, Communication and Information
CREATED:20150703T152000
DTEND;VALUE=DATE:20160518
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea746891
DTSTART;VALUE=DATE:20160518
DTSTAMP:20150703T152000
SUMMARY:Resource Tradeoffs: Computation\, Communication and Information[SW5.16-20.16]
DESCRIPTION: Resource Tradeoffs: Computation\, Communication and Information
CREATED:20150703T152000
DTEND;VALUE=DATE:20160519
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea746a05
DTSTART;VALUE=DATE:20160519
DTSTAMP:20150703T152000
SUMMARY:Resource Tradeoffs: Computation\, Communication and Information[SW5.16-20.16]
DESCRIPTION: Resource Tradeoffs: Computation\, Communication and Information
CREATED:20150703T152000
DTEND;VALUE=DATE:20160520
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea746b79
DTSTART;VALUE=DATE:20160520
DTSTAMP:20150703T152000
SUMMARY:Resource Tradeoffs: Computation\, Communication and Information[SW5.16-20.16]
DESCRIPTION: Resource Tradeoffs: Computation\, Communication and Information
CREATED:20150703T152000
DTEND;VALUE=DATE:20160521
END:VEVENT
BEGIN:VEVENT
UID:imaevent-5596eea746d88
DTSTART;VALUE=DATE:20160913
DTSTAMP:20150703T152000
SUMMARY:Test[T9.13.16]
DESCRIPTION: Test
CREATED:20150703T152000
DTEND;VALUE=DATE:20160914
END:VEVENT
END:VCALENDAR