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IMA Tutorial

Theories of Solvation Within Quantum Chemistry

December 7, 2008
Speakers:
Jiali Gao Chemistry, University of Minnesota
Benedetta Mennucci Chemistry, Università di Pisa
Mark E. Tuckerman Chemistry and Courant Institute of Mathematical Sciences, New York University

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Workshop: Solvation, December 8-12, 2008

Description:

Solvation models are nowadays widespread computational techniques to study solvent effects on energy/geometry/reactivity and properties of very different molecular systems (from small molecules to very large biochemical systems such as proteins and enzymes). Many alternative theoretical models and computational algorithms have been proposed so far; among them, however, two main classes can be identified, namely that using an equivalent description (either quantum-mechanical or classical) for all the components of the system (the solute and the solvent molecules in a dilute solution, the molecules of the different species forming a mixture, etc.), and the other introducing a focused approach, i.e., a hierarchical approach in which the most interesting part of the system is treated at a much more accurate level than the rest. The first class of models include very different approaches going from classical Molecular Dynamics (MD) and Monte Carlo (MC) simulations to quantum mechanical (QM) calculations on small-medium clusters and to ab-initio MD simulations on larger sets of molecules. Also the second class of methods include very different approaches which however present the common characteristic of using a partition of the system into a QM and a classical part, generally coinciding with the solute and the solvent respectively, even if clusters formed by the solute and few solvent molecules (those more strongly interacting) can alternatively be defined as the QM part while the rest of the solvent molecules is the classical part. Among these hybrid methods, it is common to distinguish between two main sub-classes. The first one, generally indicated as QM/MM approach, presents many characteristics which are common to classical simulations belonging to the first class of methods, such as the use of force fields to represent the classical part of the system and the necessity to introduce averages on different solute-solvent configurations in order to get a physically and statistically meaningful picture.

In the second sub-class of focused methods, the classical part of the system is represented by a polarizable continuum dielectric. In such models, the QM solute is assumed to be inside a cavity of proper shape and dimension within an infinite continuum dielectric mimicking the solvent. Contrary to the QM/MM approaches, QM/continuum approaches do not need to introduce any force field neither to average on different configurations. The averaged effects of the solvent are in fact automatically introduced in the QM description of the solute (or of its generalized definition including some solvent molecules) in a self-consistent way once the cavity is defined and the macroscopic dielectric properties of the solvent are known.

This tutorial will focus on presenting some of the fundamental concepts and techniques currently used in those solvation methods that introduce a QM description for at least a part of the system (namely the solute or its generalized definition). The presentation will be divided in three parts, devoted to ab-initio MD, QM/MM and QM/continuum approaches, respectively. The presentation of these various parts will follow a step-by-step scheme in which the physical bases of the models come first followed by an analysis of both mathematical and computational aspects and finally by a review on their applications to different physical-chemical problems. In parallel, possible limitations or incompleteness of each approach will be pointed out with indications of future developments.

Schedule
  Sunday, December 7
8:15am-8:45am Registration and coffee   EE/CS 3-176
8:45am-9:00am Welcome to the IMA Fadil Santosa (University of Minnesota) EE/CS 3-180
9:00am-9:40am Simulations of solvent effects using combined QM/MM methods Jiali Gao (University of Minnesota) EE/CS 3-180
9:40am-10:20am An introduction to quantum mechanical continuum solvation models Benedetta Mennucci (Università di Pisa) EE/CS 3-180
10:20am-10:50am Coffee   EE/CS 3-176
10:50am-11:30am Ab initio molecular dynamics via the Car-Parrinello method: Basic ideas, theory, and algorithms Mark E. Tuckerman (New York University) EE/CS 3-180
11:30am-12:30pm Discussion   EE/CS 3-180
12:30pm-2:30pm Lunch    
2:30pm-3:10pm Applications of combined QM/MM methods Jiali Gao (University of Minnesota) EE/CS 3-180
3:10pm-3:50pm Applications of quantum mechanical continuum solvation models to the study of molecular properties and spectroscopic features of molecular solutes in different environments Benedetta Mennucci (Università di Pisa) EE/CS 3-180
3:50pm-4:20pm Coffee   EE/CS 3-176
4:20pm-5:00pm Ab initio path-integrals and specific applications of the Car-Parrinello approach to problems of aqueous ion solvation and transport Mark E. Tuckerman (New York University) EE/CS 3-180
5:00pm-5:30pm Discussion   EE/CS 3-180

LIST OF CONFIRMED PARTICIPANTS

NameDepartmentAffiliation
Peter BruneDepartment of Computer Science University of Chicago
Maria-Carme T. CaldererSchool of Mathematics University of Minnesota
Roberto CammiFacoltà di Scienze Università di Parma, e-mail: roberto.cammi@unipr.it
Eric CancesENPC CERMICS
Alessandro CembranDepartment of Chemistry University of Minnesota
Xianjin ChenInstitute for Mathematics and its Applications University of Minnesota
Daniel M. ChipmanRadiation Laboratory University of Notre Dame
Carles CurutchetDepartment of Chemistry University of Toronto
Robert S. EisenbergDepartment of Molecular Biophysics and Physiology Rush University Medical Center
Jorge EstevezPhysics University of Minnesota
Daniel FlathDepartment of Mathematics and Computer Science Macalester College
James FonsecaDepartment of Molecular Biophysics and Physiology Rush University Medical Center
Christopher FraserDepartment of Computer Science University of Chicago
Jiali GaoDepartment of Chemistry University of Minnesota
Weiguo GaoSchool of Mathematical Sciences Fudan University
Carlos J. Garcia-CerveraDepartment of Mathematics University of California, Santa Barbara
Janhavi GiriMolecular Biophysics and Physiology Department Rush University Medical Center
Jay GopalakrishnanDepartment of Mathematics University of Florida
Timothy F. Havel Massachusetts Institute of Technology
Mark S. HermanInstitute for Mathematics and its Applications University of Minnesota
Yunkyong HyonInstitute for Mathematics and its Applications University of Minnesota
Mark IwenInstitute for Mathematics and its Applications University of Minnesota
Alexander IzzoDepartment of Mathematics and Statistics Bowling Green State University
Srividhya JeyaramanInstitute for Mathematics and its Applications University of Minnesota
Lijian JiangInstitute for Mathematics and its Applications University of Minnesota
Hiqmet KamberajCenter for Drug Design University of Minnesota
Yongho KimChemistry Department University of Minnesota
Andriy Kovalenko National Institute for Nanotechnology
Anna KrylovDepartment of Chemistry University of Southern California
Claude Le BrisEcole Nationale des Ponts et Chaussées (ENPC) CERMICS
Chiun-Chang LeeDepartment of Mathematics National Taiwan University
Tong LiDepartment of Mathematics University of Iowa
Yongfeng LiInstitute for Mathematics and its Applications University of Minnesota
Pinsker Lin University of Minnesota
Tai-Chia LinDepartment of Mathematics National Taiwan University
Chun LiuInstitute for Mathematics and Its Applications University of Minnesota
Mitchell LuskinSchool of Mathematics University of Minnesota
Vasileios MaroulasInstitute for Mathematics and its Applications University of Minnesota
Benedetta MennucciDepartment of Chemistry Università di Pisa
Aurora MuñozChimica e Chimica Industriale Università di Pisa
C. Melania OanaDepartment of Chemistry University of Southern California
Isamu OnishiDepartment of Mathematical and Life Sciences Hiroshima University
Fadil SantosaInstitute for Mathematics and its Applications University of Minnesota
Arnd ScheelSchool of Mathematics University of Minnesota
Tsvetanka SendovaInstitute for Mathematics and its Applications University of Minnesota
Yuk ShamCenter for Drug Design University of Minnesota
Tei ShiDepartment of Chemistry University of Minnesota
Heinz SiedentopMathematisches Institut Ludwig-Maximilians-Universität München
Lingchun SongDepartment of Chemistry University of Minnesota
Donald G. TruhlarSupercomputer Institute and Department of Chemistry University of Minnesota
Mark E. TuckermanDepartment of Chemistry New York University
Sinisa VukovicDepartment of Chemistry University of Toronto
Kin-Yiu Wong University of Minnesota
Dexuan XieDepartment of Mathematical Sciences University of Wisconsin
Wei XiongInstitute for Mathematics and its Applications University of Minnesota
Ke YangDepartment of Chemistry University of Minnesota
Weigang ZhongInstitute for Mathematics and its Applications University of Minnesota