Computational Nanoscience: Applications for Molecules, Clusters, and Solids

Hardback

Main Details

Title Computational Nanoscience: Applications for Molecules, Clusters, and Solids
Authors and Contributors      By (author) Kalman Varga
By (author) Joseph A. Driscoll
Physical Properties
Format:Hardback
Pages:444
Dimensions(mm): Height 254,Width 181
Category/GenreNanotechnology
ISBN/Barcode 9781107001701
ClassificationsDewey:530.0285
Audience
Professional & Vocational
Illustrations 33 Tables, black and white; 52 Halftones, unspecified; 123 Line drawings, unspecified

Publishing Details

Publisher Cambridge University Press
Imprint Cambridge University Press
Publication Date 14 April 2011
Publication Country United Kingdom

Description

Computer simulation is an indispensable research tool in modeling, understanding and predicting nanoscale phenomena. However, the advanced computer codes used by researchers are too complicated for graduate students wanting to understand computer simulations of physical systems. This book gives students the tools to develop their own codes. Describing advanced algorithms, the book is ideal for students in computational physics, quantum mechanics, atomic and molecular physics, and condensed matter theory. It contains a wide variety of practical examples of varying complexity to help readers at all levels of experience. An algorithm library in Fortran 90, available online at www.cambridge.org/9781107001701, implements the advanced computational approaches described in the text to solve physical problems.

Author Biography

Kalman Varga is an Assistant Professor in the Department of Physics and Astronomy, Vanderbilt University. His main research interest is computational nanoscience, focusing on developing novel computational methods for electronic structure calculations. Joseph Driscoll has a PhD in Electrical Engineering from Vanderbilt University, where his research was in the area of intelligent robotics. He has worked in industry as a software developer in the areas of Internet content delivery and bioinformatics. He was an Assistant Professor of Computer Science at Middle Tennessee State University. Dr Driscoll also has a PhD in Physics, where his interests include theoretical and computational physics of nanoscale systems. In 2011 he moved to Bradley University, where he was first an Assistant Professor of Engineering Physics, and then became an Assistant Professor of Electrical and Computer Engineering. Dr Driscoll's primary research areas are intelligent robotics, high-performance computing, and MEMS/NEMS (micro/nano electromechanical system) device simulation. He works with neural networks, genetic algorithms, computer vision, and other forms of artificial intelligence. Many types of robots are used in his experiments, including flying, walking, and wheeled robots.