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Dissertation
Sur les états (super)cohérents et les intégrales de chemin
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Year: 1995 Publisher: [S.l.]: [chez l'auteur],

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Book
Proceeding of the joint Concordia-Sherbrooke seminar series on functional integration methods in stochastic quantum mechanics : Canada, sep. 18 - dec. 4, 1987
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Year: 1991 Publisher: Palermo : Circolo matematico di Palermo,

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Book
Generalized Feynman amplitudes
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Year: 1969 Publisher: Princeton : Princeton University Press,

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The Feynman integral and Feynman's operational calculus
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ISBN: 0198515723 0198535740 Year: 2000 Publisher: Oxford : Clarendon Press,

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Handbook of Feyman path integrals
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ISBN: 3540571353 Year: 1998 Volume: 145 Publisher: Berlin : Springer Verlag,

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Book
Homology and Feynman integrals
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Year: 1966 Publisher: New York, NY : W.A. Benjamin,

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A simple definition of the Feynman integral, with applications
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ISBN: 0821822888 Year: 1983 Volume: 288 Publisher: Providence, R.I. : American Mathematical Society,


Book
Graph theory and Feynman integrals
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ISBN: 0677029500 9780677029504 Year: 1971 Volume: 11 Publisher: New York ; London ; Paris : Gordon and Breach,


Book
Statistical mechanics: theory and molecular simulation
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ISBN: 9780198825562 Year: 2023 Publisher: Oxford : Oxford University Press,

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Abstract

Scientists are increasingly finding themselves engaged in research problems that cross the traditional disciplinary lines of physics, chemistry, biology, materials science, and engineering. Because of its broad scope, statistical mechanics is an essential tool for students and more experienced researchers planning to become active in such an interdisciplinary research environment. Powerful computational methods that are based in statistical mechanics allow complex systems to be studied at an unprecedented level of detail. This book synthesizes the underlying theory of statistical mechanics with the computational techniques and algorithms used to solve real-world problems and provides readers with a solid foundation in topics that reflect the modern landscape of statistical mechanics. Topics covered include detailed reviews of classical and quantum mechanics, in-depth discussions of the equilibrium ensembles and the use of molecular dynamics and Monte Carlo to sample classical and quantum ensemble distributions, Feynman path integrals, classical and quantum linear-response theory, nonequilibrium molecular dynamics, the Langevin and generalized Langevin equations, critical phenomena, techniques for free energy calculations, machine learning models, and the use of these models in statistical mechanics applications. The book is structured such that the theoretical underpinnings of each topic are covered side by side with computational methods used for practical implementation of the theoretical concepts.

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