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Libros sobre el tema "Quantum Monte Carlo Technique"

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Publicado: 7 de septiembre de 2023

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1

Schattke, Wolfgang y Ricardo Díez Muiño. Quantum Monte Carlo Programming. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA, 2013. http://dx.doi.org/10.1002/9783527676729.

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2

Anderson, James B. y Stuart M. Rothstein, eds. Advances in Quantum Monte Carlo. Washington, DC: American Chemical Society, 2006. http://dx.doi.org/10.1021/bk-2007-0953.

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3

Tanaka, Shigenori, Stuart M. Rothstein y William A. Lester, eds. Advances in Quantum Monte Carlo. Washington, DC: American Chemical Society, 2012. http://dx.doi.org/10.1021/bk-2012-1094.

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4

American Chemical Society. Division of Physical Chemistry, ed. Advances in quantum Monte Carlo. Washington, DC: American Chemical Society, 2012.

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5

1935-, Anderson James B. y Rothstein Stuart M, eds. Advances in quantum Monte Carlo. Washington, DC: American Chemical Society, 2007.

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6

Rubenstein, Brenda M. Novel Quantum Monte Carlo Approaches for Quantum Liquids. [New York, N.Y.?]: [publisher not identified], 2013.

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7

1935-, Anderson James B., ed. Quantum Monte Carlo: Origins, development, applications. New York: Oxford University Press, 2006.

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8

Tanaka, Shigenori, Pierre-Nicholas Roy y Lubos Mitas, eds. Recent Progress in Quantum Monte Carlo. Washington, DC: American Chemical Society, 2016. http://dx.doi.org/10.1021/bk-2016-1234.

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9

Henryk, Woźniakowski y SpringerLink (Online service), eds. Monte Carlo and Quasi-Monte Carlo Methods 2010. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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10

A, Lester William, Rothstein Stuart M y Tanaka Shigenori, eds. Recent advances in quantum Monte Carlo methods. Singapore: World Scientific Pub.Co., 2002.

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11

Nightingale, M. P. y C. J. Umrigar, eds. Quantum Monte Carlo Methods in Physics and Chemistry. Dordrecht: Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-011-4792-7.

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12

Zhang, Shiwei. Bilinear quantum Monte Carlo: Expectations and energy differences. Ithaca, N.Y: Cornell Theory Center, Cornell University, 1992.

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13

P, Nightingale M., Umrigar C. J y NATO Advanced Study Institute on Quantum Monte Carlo Methods in Physics and Chemistry (1998 : Ithaca, N.Y.), eds. Quantum Monte Carlo methods in physics and chemistry. Dordrecht: Kluwer Academic, 1999.

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14

1937-, Suzuki M., ed. Quantum Monte Carlo methods in condensed matter physics. Singapore: World Scientific, 1993.

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15

A, Lester W. y Reynolds Peter J, eds. Monte Carlo methods in ab initio quantum chemistry. Singapore: World Scientific, 1994.

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16

Joseph, Anosh. Markov Chain Monte Carlo Methods in Quantum Field Theories. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-46044-0.

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17

Suzuki, Masuo, ed. Quantum Monte Carlo Methods in Equilibrium and Nonequilibrium Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-83154-6.

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18

Filippi, Claudia. Multiconfiguration wavefunctions for quantum Monte Carlo calculations of first-row diatomic molecules. Ithaca, N.Y: Cornell Theory Center, Cornell University, 1996.

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19

Hornik, Miroslav. Quantum Monte Carlo study of electrostatic polarizabilities of H and He atoms. St. Catharines, Ont: Brock University, Dept. of Physics, 2001.

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20

Taniguchi International Symposium on the Theory of Condensed Matter (9th 1986 Susono-shi, Japan). Quantum Monte Carlo methods in equilibrium and nonequilibrium systems: Proceedings of the Ninth Taniguchi International Symposium, Susono, Japan, November 14-18, 1986. Editado por Suzuki M. 1937-. Berlin: Springer-Verlag, 1987.

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21

Suwa, Hidemaro. Geometrically Constructed Markov Chain Monte Carlo Study of Quantum Spin-phonon Complex Systems. Tokyo: Springer Japan, 2014. http://dx.doi.org/10.1007/978-4-431-54517-0.

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22

Nightingale, M. P. Monte Carlo optimization of trial wave functions in quantum mechanics and statistical mechanics. Ithaca, N.Y: Cornell Theory Center, Cornell University, 1996.

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23

Suzuki, Masuo. Quantum Monte Carlo Methods in Equilibrium and Nonequilibrium Systems: Proceedings of the Ninth Taniguchi International Symposium, Susono, Japan, November 14-18, 1986. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987.

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24

J, Srolovitz David y United States. National Aeronautics and Space Administration., eds. A microstructural lattice model for strain oriented problems: A combined Monte Carlo finite element technique. [Washington, DC]: National Aeronautics and Space Administration, 1987.

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25

Gayda, J. A microstructural lattice model for strain oriented problems: A combined Monte Carlo finite element technique. [Washington, DC]: National Aeronautics and Space Administration, 1987.

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26

Schwarm, Fritz-Walter. Monte Carlo Simulation of Cyclotron Lines in Strong Magnetic Fields - Theory and Application. Erlangen: Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 2017.

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27

1949-, Navarro Jesús, Polls A y European Summer School on Microscopic Many-Body Theories and their Applications (1997 : Valencia, Spain), eds. Microscopic quantum many-body theories and their applications: Proceedings of a European summer school, held at Valencia, Spain, 8-19 September 1997. Berlin: Springer, 1998.

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28

Stochastic simulations of clusters: Quantum methods in flat and curved spaces. Boca Raton: CRC Press, 2010.

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29

Querlioz, Damien. The Wigner Monte-Carlo method for nanoelectronic devices: Particle description of quantum transport and decoherence. London: ISTE, 2010.

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30

Philippe, Dollfus, ed. The Wigner Monte-Carlo method for nanoelectronic devices: Particle description of quantum transport and decoherence. London: ISTE, 2010.

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31

D, Doll J. y Gubernatis J. E, eds. International Workshop on Quantum Simulations of Condensed Matter Phenomena, 8-11 August 1989, Los Alamos, NM, USA. Singapore: Teaneck, NJ, 1990.

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32

Habib, Zaidi, ed. Quantitative analysis of nuclear medicine images. New York: Springer, 2005.

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33

Satō, Akira. Introduction to practice of molecular simulation: Molecular dynamics, Monte Carlo, Brownian dynamics, Lattice Boltzmann, dissipative particle dynamics. Amsterdam: Elsevier, 2011.

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34

Curotto, Emanuele. Stochastic simulations of clusters: Quantum methods in flat and curved spaces. Boca Raton: Taylor & Francis, 2010.

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35

Landau, David P. Computer Simulation Studies in Condensed-Matter Physics V: Proceedings of the Fifth Workshop Athens, GA, USA, February 17-21, 1992. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993.

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36

Landau, David P. Computer Simulation Studies in Condensed-Matter Physics VII: Proceedings of the Seventh Workshop Athens, GA, USA, 28 February - 4 March 1994. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994.

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37

Landau, David P. Computer Simulation Studies in Condensed-Matter Physics VI: Proceedings of the Sixth Workshop, Athens, GA, USA, February 22-26, 1993. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993.

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38

-U, Bengtsson H. y University of California, Los Angeles., eds. Observable standard model physics at the SSC: Monte Carlo simulation and detector capabilities : proceedings of the UCLA workshop, 15-24 January 1986. Singapore: World Scientific, 1986.

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39

Uwe, Burghaus, ed. A practical guide to Monte Carlo simulations and classical molecular dynamics simulations by captain cook: An example booklet. Hauppauge, N.Y: Nova Science Publishers, 2005.

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40

Allen, Michael P. y Dominic J. Tildesley. Quantum simulations. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198803195.003.0013.

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This chapter covers the introduction of quantum mechanics into computer simulation methods. The chapter begins by explaining how electronic degrees of freedom may be handled in an ab initio fashion and how the resulting forces are included in the classical dynamics of the nuclei. The technique for combining the ab initio molecular dynamics of a small region, with classical dynamics or molecular mechanics applied to the surrounding environment, is explained. There is a section on handling quantum degrees of freedom, such as low-mass nuclei, by discretized path integral methods, complete with practical code examples. The problem of calculating quantum time correlation functions is addressed. Ground-state quantum Monte Carlo methods are explained, and the chapter concludes with a forward look to the future development of such techniques particularly to systems that include excited electronic states.
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41

Boudreau, Joseph F. y Eric S. Swanson. Quantum field theory. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198708636.003.0024.

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Markov chain Monte Carlo techniques are developed to compute properties of a variety of quantum field theories. The method is introduced with a simple scalar field theory and used to evaluate the particle spectrum and phase diagram for parity symmetry breaking. The technique of micorcanonical updating is introduced to increase efficiency. The important topic of gauge theory is then introduced via the gauged Z2 model. Development of the gauge theory formalism continues with Abelian gauge theory in two dimensions. The interaction between static charges is computed and compared to the exact result. The string tension in nonableian SU(2) gauge theory is explored with the aid of the renormalization group, which gives an entrée to a discussion of the Higgs mechanism. Finally, the formalism for including fermions is briefly reviewed.
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42

Boudreau, Joseph F. y Eric S. Swanson. Quantum mechanics I–few body systems. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198708636.003.0021.

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Several techniques for obtaining the eigenspectrum and scattering properties of one- and two-body quantum systems are presented. More unusual topics, such as solving the Schrödinger equation in momentum space or implementing relativistic kinematics, are also addressed. A novel quantum Monte Carlo technique that leverages the similarity between path integrals and random walks is developed. An exploration of the method for simple problems is followed by a survey of methods to obtain ground state matrix elements. A review of scattering theory follows. The momentum space T-matrix formalism for scattering is introduced and an efficient numerical method for solving the relevant equations is presented. Finally, the method is extended to the coupled channel scattering problem.
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43

Pang, Tao. Introduction to Quantum Monte Carlo Methods. Morgan & Claypool Publishers, 2016.

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44

Anderson, James B. Quantum Monte Carlo: Origins, Development, Applications. Oxford University Press, USA, 2007.

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45

Recent Progress in Quantum Monte Carlo. Oxford University Press, Incorporated, 2018.

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46

Pang, Tao. Introduction to Quantum Monte Carlo Methods. Morgan & Claypool Publishers, 2016.

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47

B, Anderson James. Quantum Monte Carlo: Origins, Development, Applications. Oxford University Press, 2007.

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48

Quantum Monte Carlo: Origins, development, applications. New York, NY: Oxford University Press, 2007.

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49

Ciric, Aleksandar. A Guide to Monte Carlo and Quantum Monte Carlo methods : Quantum Monte Carlo: Variational and Diffusion; MC in general; Markov Chain; Statistics; Random number generators; Hidden Monte Carlo. Createspace Independent Publishing Platform, 2016.

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50

Plaskota, Leszek, Henryk Wo Niakowski y Henryk Woźniakowski. Monte Carlo and Quasi-Monte Carlo Methods 2010. Springer Berlin / Heidelberg, 2016.

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