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Mathematical challenges from theoretical/computational chemistry / Committee on Mathematical Challenges from Computational Chemistry, Board on Mathematical Sciences and Board on Chemical Sciences and Technology, Commission on Physical Sciences, Mathematics, and Applications, National Research Council.

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Format:
Book
Author/Creator:
National Research Council (U.S.). Committee on Mathematical Challenges from Computational Chemistry.
Language:
English
Subjects (All):
Chemistry, Physical and theoretical--Mathematics.
Chemistry, Physical and theoretical.
Physical Description:
1 online resource (143 p.)
Edition:
1st ed.
Place of Publication:
Washington, D.C. : National Academy Press, 1995.
Language Note:
English
Summary:
Computational methods are rapidly becoming major tools of theoretical, pharmaceutical, materials, and biological chemists. Accordingly, the mathematical models and numerical analysis that underlie these methods have an increasingly important and direct role to play in the progress of many areas of chemistry. This book explores the research interface between computational chemistry and the mathematical sciences. In language that is aimed at non-specialists, it documents some prominent examples of past successful cross-fertilizations between the fields and explores the mathematical research opportunities in a broad cross-section of chemical research frontiers. It also discusses cultural differences between the two fields and makes recommendations for overcoming those differences and generally promoting this interdisciplinary work.
Contents:
Mathematical Challenges from Theoretical/Computational Chemistry
Copyright
REFERENCES
Contents
Executive Summary
OVERVIEW
CONCLUSIONS AND RECOMMENDATIONS
Reference
1 Introduction
References
2 The Emergence of Computational Chemistry
3 Examples of Constructive Cross-Fertilization Between the Mathematical Sciences and Chemistry
USE OF STATISTICS TO PREDICT THE BIOLOGICAL POTENCY OF MOLECULES LATER MARKETED AS NEW DRUGS AND AGRICULTURAL CHEMICALS
NUMERICAL ANALYSIS
DISTANCE GEOMETRY
MATHEMATICS AND FULLERENES
QUASICRYSTALS
CHEMICAL TOPOLOGY
Combinatorics, Graph Theory, and Chemical Isomer Enumeration
Analysis of Molecular Spectra by Using Cayley Trees
Group Theory, Topology, Geometry, and Stereochemistry
Topology of Polymers
Knots, Links (Catenanes), and DNA
GRAPH THEORY
Application of Graph Theory to Organizing Chemical Literature
Application of Graph Theory to Representation of Chemical Reactions
X-RAY CRYSTALLOGRAPHY
Remark
4 Mathematical Research Opportunities from Theoretical/Computational Chemistry
INTRODUCTION
NUMERICAL METHODS FOR ELECTRONIC STRUCTURE THEORY
THE N-AND V-REPRESENTABILITY PROBLEMS
MELDING OF QUANTUM MECHANICS WITH SIMPLER MODELS
MOLECULAR DYNAMICS ALGORITHMS
Enhanced Sampling
Numerical Methods for Solving Ordinary Differential Equations
Symplectic Integrators
The Time Step Problem in Molecular Dynamics
Implicit Integration Schemes
Future Prospects
N-AND V-REPRESENTABILITY PROBLEMS IN CLASSICAL STATISTICAL MECHANICS
IMPLICATIONS OF TOPOLOGICAL PHASES
THEORETICAL AND COMPUTATIONAL CHEMISTRY IN SPACES OF NONINTEGER DIMENSION.
References
MULTIVARIATE MINIMIZATION IN COMPUTATIONAL CHEMISTRY
Introduction
Problem Classification
The Complexity of Computational Chemistry Problems
Local Optimization Methods
Global Optimization Methods
Perspective
LOCATING SADDLEPOINTS
SAMPLING OF MINIMA AND SADDLEPOINTS
EFFICIENT GENERATION OF POINTS THAT SATISFY PHYSICAL CONSTRAINTS IN A MANY-PARTICLE SYSTEM
Prototypical Problem
Variations on the Prototypical Problem
Simplest Strategy
Metropolis Monte Carlo Method
Relationship of These Problems to More General Optimization Problems
MOLECULAR DIVERSITY AND CORNBINATORIAL CHEMISTRY IN DRUG DISCOVERY
Overview of the Drug Discovery Process
Sources of Molecular Diversity
Current Computational Approaches to Compound Selection
Opportunities for Improvements in Computational Approaches to Compound Selection
STATISTICAL ANALYSES OF FAMILIES OF STRUCTURES
QUANTUM MONTE CARLO SOLUTION OF THE SCHRÖDINGER EQUATION
Variational Monte Carlo (VMC)
Diffusion Monte Carlo (DMC)
Green's Function Monte Carlo (GFMC)
Research Opportunities
NONADIABATIC PHENOMENA
EVALUATION OF INTEGRALS WITH HIGHLY OSCILLATORY INTEGRANDS: QUANTUM DYNAMICS WITH PATH INTEGRALS
Discussion of the Problem
Stationary-Phase Monte Carlo Methods
Alternative Approaches to the Prototype Problem
Other Formulations and Solutions of the Basic Problem
FAST ALGEBRAIC TRANSFORMATION METHODS
5 Cultural Issues and Barriers to Interdisciplinary Work
MOTIVATION AND CONNECTIONS
EFFECTS OF DISCIPLINARY BOUNDARIES
EFFECTS OF THE CURRICULUM
LANGUAGE DIFFERENCES
TOWARD A FRUITFUL COLLABORATION
6 Conclusions and Recommendations
Afterword.
Glossary.
Notes:
Bibliographic Level Mode of Issuance: Monograph
Includes bibliographical references.
ISBN:
9786610193394
9780309176620
030917662X
9781280193392
1280193395
9780309560641
0309560640
9780585143897
0585143897
OCLC:
44957784

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