Quantum Monte Carlo Methods in Physics and Chemistry - Rilegato

Rilegato

ISBN 10: 1773611275 ISBN 13: 9781773611273

Casa editrice: Arcler Education Inc, 2017

Riassunto

Quantum Monte-Carlo methods represent a systematic alternative to the diagonalization of the Hamiltonian. They are generalizations of the classical Monte Carlo methods to quantum statistical physics and are based on path integral formulation of quantum mechanics. In such way, the many-body problem is reduced to a set of many one-body problems describing independent particles that casually walk in fluctuating external fields. In this way, exact wave functions are restored by statistically averaging independent-particle states.The book begins with the Section 1 providing a brief introduction to the Monte Carlo method and its historical origin, the basilar statistical concepts. Moreover, some of the future impacts of Quantum Monte Carlo techniques in the field of ab initio methods is explored. Section 2 discusses a new application of variational Monte Carlo method that can describe the compression effect for the helium atom, a new variational Monte Carlo approach based on the Krylov subspace for large-scale shell-model calculations, and a comparison between the variational Monte Carlo and the diffusion Monte Carlo in a study of the Lanthanum atom. Section 3 present recent works about the auxiliary-field quantum Monte Carlo method, also known in nuclear physics as the shell model Monte Carlo method. In particular, applications of the method in heavy nuclei and honeycomb lattice are discussed. Finally, the last Section 4 focuses on path integral representation of Wigner functions, on constrained path quantum Monte Carlo methods and on a new quantum Monte Carlo scheme able to directly sample the full density matrix of a many-body system.

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Informazioni sull?autore

Stefano Spezia is Ph.D. holder in Applied Physics at the University of Palermo since April 2012. His major research experience is in noise-induced effects in nonlinear systems, especially in the fields of modeling of complex biological systems and simulation of semiconductor spintronic devices. Associate member of the Italian Physical Society and European Physical Society.

Dettagli dell?edizione

• Editore: Arcler Education Inc
• Data di pubblicazione: 2017
• Lingua: Inglese
• ISBN 10: 1773611275
• ISBN 13: 9781773611273
• Rilegatura: Copertina rigida
• Numero di pagine: 288
• Redattore: Spezia Stefano
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile