Computational Nanoscience: Applications for Molecules, Clusters, and Solids

Kálmán Varga · Joseph A. Driscoll

apr 2011 · Cambridge University Press

Teave selle e-raamatu kohta

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.

Teave autori kohta

Kálmán 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.