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Monte Carlo Simulation

  • Reference work entry
Springer Handbook of Materials Measurement Methods

Part of the book series: Springer Handbooks ((SHB))

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Abstract

In the general overview on materials and their characteristics, outlined in chapter 3, it has been stated that materials and their characteristics result from the processing of matter. Thus, condensed matter physics is one of the fundamentals for the understanding of materials. The Monte Carlo Method, which is a powerful method in this respect, is presented in this final chapter of the Handbook's Part E on Modelling and Simulation Methods as follows:

First, the principles of this simulation technique are introduced

  • Monte Carlo Method: the fundamentals

  • Improved Monte Carlo algorithms

  • Quantum Monte Carlo Method

Second, the application of the Monte Carlo Method is explained in considering selected areas of materials science:

  • Electronic correlations: antiferromagnetism

  • Perfect conductance of electricity: superconductivity

  • Vortex states in condensed matter physics

  • Quantum critical phenomena

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Abbreviations

DOS:

density of states

LD:

laser diode

MD:

multichannel detector

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Authors and Affiliations

  1. Strong Coupling Modeling Group, Computational Materials Science Center, National Institute for Materials Science, Sengen 1-2-1, 305-0047, Tsukuba, Japan

    Xiao Hu Associate Professor

  2. Computational Materials Science Center, National Institute for Materials Science, Sengen 1-2-1, Tsukuba, 305-0047, Ibaraki, Japan

    Yoshihiko Nonomura Ph.D.

  3. Computational Materials Science Center, National Institute for Materials Science, 1-2-1 Sengen, 305-0047, Tsukuba, Japan

    Masanori Kohno Dr.

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  1. Xiao Hu Associate Professor
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Correspondence to Xiao Hu Associate Professor , Yoshihiko Nonomura Ph.D. or Masanori Kohno Dr. .

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  1. Department of Electrical Engineering and Precision Engineering, University of Applied Sciences, TFH Berlin, Luxemburger Strasse 10, 13353, Berlin, Germany

    Horst Czichos Prof.

  2. National Institute for Materials Science (NIMS), Tsukuba, Ibaraki, Japan

    Tetsuya Saito

  3. National Institute of Standards and Technology (NIST), Gaithersburg, MD, US

    Leslie Smith

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Hu, X., Nonomura, Y., Kohno, M. (2006). Monte Carlo Simulation. In: Czichos, H., Saito, T., Smith, L. (eds) Springer Handbook of Materials Measurement Methods. Springer Handbooks. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30300-8_22

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