Description
Stochastic Simulations of Clusters
Quantum Methods in Flat and Curved Spaces
Author: Curotto Emanuele
Language: EnglishSubjects for Stochastic Simulations of Clusters:
Keywords
Enddo Enddo; Stereographic Projection; FORTRAN Essentials; Parallel Tempering; Basics of Classical Dynamics; Ground State Energy; The Basics of Stochastic Computations; Potential Energy Surfaces; Atomic Clusters; Path Integral Simulations; Optical Activity; Basin Hopping; Trial Wavefunction; R0 Rij; Holonomic Constraints; Pi; Matrix Quantum Mechanics; Spherical Top; Hamiltonian Matrix; Harmonic Oscillator; Metropolis Algorithm; Partition Function; Lie Algebra; Quantum Simulations; Return End; Heat Capacity; Canonical Partition Function; Average Potential Energy; Laplace Beltrami Operator; Cosφ Sin
Approximative price 87.11 €
In Print (Delivery period: 14 days).
Add to cart the book of Curotto EmanuelePublication date: 06-2017
· 15.6x23.4 cm · Paperback
Approximative price 232.80 €
Subject to availability at the publisher.
Add to cart the book of Curotto EmanuelePublication date: 09-2009
416 p. · 15.6x23.4 cm · Hardback
Description
/li>Contents
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Unravels Complex Problems through Quantum Monte Carlo Methods
Clusters hold the key to our understanding of intermolecular forces and how these affect the physical properties of bulk condensed matter. They can be found in a multitude of important applications, including novel fuel materials, atmospheric chemistry, semiconductors, nanotechnology, and computational biology. Focusing on the class of weakly bound substances known as van derWaals clusters or complexes, Stochastic Simulations of Clusters: Quantum Methods in Flat and Curved Spaces presents advanced quantum simulation techniques for condensed matter.
The book develops finite temperature statistical simulation tools and real-time algorithms for the exact solution of the Schrödinger equation. It draws on potential energy models to gain insight into the behavior of minima and transition states. Using Monte Carlo methods as well as ground state variational and diffusion Monte Carlo (DMC) simulations, the author explains how to obtain temperature and quantum effects. He also shows how the path integral approach enables the study of quantum effects at finite temperatures.
To overcome timescale problems, this book supplies efficient and accurate methods, such as diagonalization techniques, differential geometry, the path integral method in statistical mechanics, and the DMC approach. Gleaning valuable information from recent research in this area, it presents special techniques for accelerating the convergence of quantum Monte Carlo methods.
Fundamentals. Atomic Clusters. Methods in Curved Spaces. Applications to Molecular Systems. Bibliography. Index.
Emanuele Curotto is a professor of chemistry at Arcadia University in Glenside, Pennsylvania.
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