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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.
- 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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