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December 7, 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 not yet available.
LIST OF CONFIRMED PARTICIPANTS
| Name |
Department |
Affiliation |
| Peter Brune |
Department of Computer Science |
University of Chicago |
| Maria-Carme T. Calderer |
School of Mathematics |
University of Minnesota |
| Roberto Cammi |
Facoltà di Scienze |
Università di Parma |
| Eric Cances |
ENPC |
CERMICS |
| Xianjin Chen |
Institute for Mathematics and its Applications |
University of Minnesota |
| Daniel M. Chipman |
Radiation Laboratory |
University of Notre Dame |
| Carles Curutchet |
Department of Chemistry |
University of Toronto |
| Bob Eisenberg |
Department of Molecular Biophysics and Physiology |
Rush University Medical Center |
| Daniel Flath |
Department of Mathematics and Computer Science |
Macalester College |
| James Fonseca |
Molecular Biophysics and Physiology |
Rush University Medical Center |
| Christopher Fraser |
Department of Computer Science |
University of Chicago |
| Jiali Gao |
Department of Chemistry |
University of Minnesota |
| Weiguo Gao |
|
Fudan University |
| Janhavi Giri |
Molecular Biophysics and Physiology Department |
Rush University Medical Center |
| Jay Gopalakrishnan |
Department of Mathematics |
University of Florida |
| Timothy F. Havel |
Sloan School of Management |
Massachusetts Institute of Technology |
| Mark S. Herman |
Institute for Mathematics and its Applications |
University of Minnesota |
| Yunkyong Hyon |
Institute for Mathematics and its Applications |
University of Minnesota |
| Mark Iwen |
Institute for Mathematics and its Applications |
University of Minnesota |
| Alexander Izzo |
Department of Mathematics and Statistics |
Bowling Green State University |
| Srividhya Jeyaraman |
Institute for Mathematics and its Applications |
University of Minnesota |
| Lijian Jiang |
Institute for Mathematics and its Applications |
University of Minnesota |
| Markus Keel |
School of Mathematics |
University of Minnesota |
| Andriy Kovalenko |
|
National Institute for Nanotechnology |
| Anna Krylov |
Department of Chemistry |
University of Southern California |
| Claude Le Bris |
|
CERMICS |
| Chiun-Chang Lee |
Department of Mathematics |
National Taiwan University |
| Tong Li |
Department of Mathematics |
University of Iowa |
| Yongfeng Li |
Institute for Mathematics and its Applications |
University of Minnesota |
| Tai-Chia Lin |
Department of Mathematics |
National Taiwan University |
| Chun Liu |
|
University of Minnesota |
| Mitchell Luskin |
School of Mathematics |
University of Minnesota |
| Vasileios Maroulas |
Institute for Mathematics and its Applications |
University of Minnesota |
| Benedetta Mennucci |
Department of Chemistry |
Università di Pisa |
| Fadil Santosa |
School of Mathematics |
University of Minnesota |
| Arnd Scheel |
School of Mathematics |
University of Minnesota |
| Tsvetanka Sendova |
Institute for Mathematics and its Applications |
University of Minnesota |
| Yuk Sham |
Center for Drug Design |
University of Minnesota |
| Heinz Siedentop |
Mathematisches Institut |
Ludwig-Maximilians-Universität München |
| Donald G. Truhlar |
Supercomputer Institute and Department of Chemistry |
University of Minnesota |
| Mark E. Tuckerman |
Department of Chemistry |
New York University |
| Dexuan Xie |
Department of Mathematical Sciences |
University of Wisconsin |
| Wei Xiong |
Institute for Mathematics and its Applications |
University of Minnesota |
| Ke Yang |
Department of Chemistry |
University of Minnesota |
| Weigang Zhong |
Institute for Mathematics and its Applications |
University of Minnesota |
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