Stochastic Simulations of Clusters - Quantum Methods in Flat and Curved Spaces

Informationen zum Autor Emanuele Curotto is a professor of chemistry at Arcadia University in Glenside, Pennsylvania. Klappentext Molecular clusters have many key uses ranging from novel fuel and material research to computational biology applications; however! they are not easily predictable. Modeling their behavior requires unique computational techniques. Rather than cover every marginally feasible method! this book discusses only those shown to be the most successful! such as the path integral methods in statistical mechanics and the diffusion Monte Carlo approach. Written to be accessible to an audience as broad as the uses of clusters! the author employs a guided inquiry style and! unlike similar works! ventures from classical simulations of liquids! to cover quantum mechanic simulations for atomic and molecular aggregates. Zusammenfassung Collecting information from research in area of stochastic simulations of clusters, this book presents advanced quantum simulation techniques for condensed matter. It develops finite temperature statistical simulation tools and real-time algorithms for the exact solution of the Schrodinger equation. Inhaltsverzeichnis Fundamentals. Atomic Clusters. Methods in Curved Spaces. Applications to Molecular Systems. Bibliography. Index.

Product details

• Authors: Emanuele Curotto, Emanuele (Arcadia University Curotto, Curotto Emanuele
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Released: 25.09.2009
• EAN: 9781420082258
• ISBN: 978-1-4200-8225-8
• No. of pages: 696
• Subjects: Natural sciences, medicine, IT, technology > Physics, astronomy > Theoretical physics; SCIENCE / Physics / Quantum Theory, Quantum physics (quantum mechanics & quantum field theory), Quantum physics (quantum mechanics and quantum field theory)