Reviews in Computational Chemistry
Volume 23
Reviews in Computational Chemistry (Band Nr. 23)
1. Auflage März 2007
520 Seiten, Hardcover
Monographie
THIS VOLUME, LIKE THOSE PRIOR TO IT, FEATURES CHAPTERS BY EXPERTS IN VARIOUS FIELDS OF COMPUTATIONAL CHEMISTRY. Volume 23 COVERS LINEAR SCALING METHODS FOR QUANTUM CHEMISTRY, VARIATIONAL TRANSITION STATE THEORY, COARSE GRAIN MODELING OF POLYMERS, SUPPORT VECTOR MACHINES, CONICAL INTERSECTIONS, ANALYSIS OF INFORMATION CONTENT USING SHANNON ENTROPY, AND HISTORICAL INSIGHTS INTO HOW COMPUTING EVOLVED IN THE PHARMACEUTICAL INDUSTRY.
FROM REVIEWS OF THE SERIES
"Reviews in Computational Chemistry remains the most valuable reference to methods and techniques in computational chemistry."
-JOURNAL OF MOLECULAR GRAPHICS AND MODELLING
"One cannot generally do better than to try to find an appropriate article in the highly successful Reviews in Computational Chemistry. The basic philosophy of the editors seems to be to help the authors produce chapters that are complete, accurate, clear, and accessible to experimentalists (in particular) and other nonspecialists (in general)."
-JOURNAL OF THE AMERICAN CHEMICAL SOCIETY
2. Conical Intersections in Molecular Systems (Spiridoula Matsika).
3. Variational Transition State Theory with Multidimensional Tunneling (Antonio Fernandez-Ramos, Benjamin A. Ellingson, Bruce C. Garrett, and Donald G. Truhlar).
4. Coarse-Grain Modeling of Polymers (Roland Faller).
5. Analysis of Chemical Information Content Using Shannon Entropy (Jeffrey W. Godden and JÜrgen Bajorath).
6. Applications of Support Vector Machines in Chemistry (Ovidiu Ivanciuc).
7. How Computational Chemistry Became Important in the Pharmaceutical Industry (Donald B. Boyd).
Acknowledgments.
References.
Author Index.
Subject Index.
Tom Cundari is Professor of Chemistry at the University of North Texas.
