Understanding Molecular Simulation: From Algorithms to Applications

Daan Frenkel, Berend Smit

ISBN 10: 0323902928 / ISBN 13: 9780323902922

Edité par Elsevier Science, 2023

A propos de cet article

Cover is shelf worn and slightly rubbed with the top corner edge is slightly warped. Spine is cracked, but binding is secure. Inside is clean and unmarked.

N° de réf. du vendeur 1144632

Détails bibliographiques

• Titre: Understanding Molecular Simulation: From Algorithms to Applications
• Éditeur: Elsevier Science
• Date de parution: 2023
• Langue: anglais
• ISBN à 10 chiffres: 0323902928
• ISBN à 13 chiffres: 9780323902922
• Reliure: Soft cover
• Édition: 3ème Édition
• État de l'article: Good
• État de la jaquette: No jacket
• Catalogues du vendeur:
  • Science

A propos de ce titre

Synopsis

Understanding Molecular Simulation explains molecular simulation from a chemical-physics and statistical-mechanics perspective. It highlights how physical concepts are used to develop better algorithms and expand the range of applicability of simulations. Understanding Molecular Simulation is equally relevant for those who develop new code and those who use existing packages. Both groups are continuously confronted with the question of which computational technique best suits a given application. Understanding Molecular Simulation provides readers with the foundational knowledge they need to learn about, select and apply the most appropriate of these tools to their own work. The implementation of simulation methods is illustrated in pseudocodes, and their practical use is shown via case studies presented throughout the text.

Since the second edition's publication, the simulation world has expanded significantly: existing techniques have continued to develop, and new ones have emerged, opening up novel application areas. This new edition aims to describe these new developments without becoming exhaustive; examples are included that highlight current uses, and several new examples have been added to illustrate recent applications. Examples, case studies, questions, and downloadable algorithms are also included to support learning. No prior knowledge of computer simulation is assumed.

À propos des auteurs

Daan Frenkel is based at the FOM Institute for Atomic and Molecular Physics and at the Department of Chemistry, University of Amsterdam. His research has three central themes: prediction of phase behavior of complex liquids, modeling the (hydro) dynamics of colloids and microporous structures, and predicting the rate of activated processes. He was awarded the prestigious Spinoza Prize from the Dutch Research Council in 2000.

Berend Smit is Professor at the Department of Chemical Engineering of the Faculty of Science, University of Amsterdam. His research focuses on novel Monte Carlo simulations. Smit applies this technique to problems that are of technological importance, particularly those of interest in chemical engineering.