This handbook is a guide to current methods of computational chemistry, explaining their limitations and advantages and providing examples of their applications. The first part outlines methods, the balance of volumes present numerous important applications.
The role the Handbook of Computational Chemistry is threefold. It is primarily intended to be used as a guide that navigates the user through the plethora of computational methods currently in use; it explains their limitations and advantages; and it provides various examples of their important and varied applications.
This reference work is presented in three volumes. Volume I introduces the different methods used in computational chemistry. Basic assumptions common to the majority of computational methods based on molecular, quantum, or statistical mechanics are outlined and special attention is paid to the limits of their applicability.
Volume II portrays the applications of computational methods to model systems and discusses in detail molecular structures, the modelling of various properties of molecules and chemical reactions. Both ground and excited states properties are covered in the gas phase as well as in solution. This volume also describes Nanomaterials and covers topics such as clusters, periodic, and nano systems. Special emphasis is placed on the environmental effects of nanostructures.
Volume III is devoted to the important class of Biomolecules. Useful models of biological systems considered by computational chemists are provided and RNA, DNA and proteins are discussed in detail. This volume presents examples of calcualtions of their properties and interactions and reveals the role of solvents in biologically important reactions as well as the structure function relationship of various classes of Biomolecules.
Handles molecular mechanics, quantum mechanics, and statistical mechanics calculations
Provides an accessible introduction to the methods and concepts of computational and quantum chemistry
Reviews applications in Biomolecules and Nanostructures
Aimed at graduate students from Physics, Chemistry, Material Science, and Biology disciplines
Jerzy Leszczynski
Density Functional Electronic Hamiltonian Energy Optimization Force field Molecular Dynamics Molecular Mechanics Monte Carlo Simulations Nanostructures Quantum Mechanics Quantum Theory