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Reviews in Computational Chemistry, Volume 19
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  • Wiley

More About This Title Reviews in Computational Chemistry, Volume 19

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English

The Reviews in Computational Chemistry series brings together leading authorities in the field. The chapters in this book series are written to teach the newcomer and update the expert. Topics include computational chemistry, molecular modeling, computer-assisted molecular design (CAMD), quantum chemistry, molecular mechanics and dynamics, and quantitative structure-activity relationships (QSAR).
  • Detailed author and subject indices on each volume help the reader to quickly discover particular topics.
  • The chapters are approached in a tutorial manner and written in a non-mathematical style allowing students and researchers to access computational methods outside their immediate area of expertise.
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Kenny B. Lipkowitz, PhD, is a retired Professor of Chemistry from North Dakota State University.

Raima Larter is Professors of Chemistry at Indiana University - Purdue University at Indianapolis.

Thomas R. Cundari is Professor of Chemistry at the University of Memphis.

Donald B. Boyd was apponted Research Professor of Chemistry at Indiana University - Purdue University Indianapolis in 1994. He has published over 100 refereed journal papers and book chapters.

  • English

English

1. Computational Techniques and Strategies for Monte Carlo Thermodynamic Calculations, with Applications to Nanoclusters   (Robert Q. Topper, et al.).

2. Computing Hydrophobicity (David E. Smith and Anthony D.J. Haymet).

3. Born-Oppenheimer Direct Dynamics Classical Trajectory Simulations (Lipeng Sun and William L. Hase).

4. The Poisson-Boltzmann Equation (Gene Lamm).

Author Index.

Subject Index.

  • English

English

"This series as a whole is a valuable contribution to the field of computational chemistry, and this latest volume is no exception." (Journal of Chemical Information and Computer Sciences, July 2004)

"…covers an eclectic range of computational techniques in the area of molecular and macromolecular modeling…well written and should serve as a useful reference for both students and researchers…" (Journal of the American Chemical Society, Vol. 126)

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