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  • Cited by 75
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    This book has been cited by the following publications. This list is generated based on data provided by CrossRef.

    Kikuchi, Akihito 2018. Computer Algebra and Materials Physics. Vol. 272, Issue. , p. 1.

    Palmer, T. L. Baardsen, G. and Skartlien, R. 2018. Reduction of the effective shear viscosity in polymer solutions due to crossflow migration in microchannels: Effective viscosity models based on DPD simulations. Journal of Dispersion Science and Technology, Vol. 39, Issue. 2, p. 190.

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    Inack, E. M. Giudici, G. Parolini, T. Santoro, G. and Pilati, S. 2018. Understanding quantum tunneling using diffusion Monte Carlo simulations. Physical Review A, Vol. 97, Issue. 3,

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    Xu, Yuan Yang, Yonggang Xiao, Liantuan and Jia, Suotang 2017. An efficient method for electron-atom scattering using ab-initio calculations. Journal of the Korean Physical Society, Vol. 70, Issue. 4, p. 365.

    Mathialakan, T and Mahesan, S 2016. Low-cost bitwise 2D ising model representation using Monte Carlo and metropolis algorithm. p. 106.

    Angeletti, Florian and Touchette, Hugo 2016. Diffusions conditioned on occupation measures. Journal of Mathematical Physics, Vol. 57, Issue. 2, p. 023303.

    Ibarra-García-Padilla, Eduardo Malanche-Flores, Carlos Gerardo and Poveda-Cuevas, Freddy Jackson 2016. The hobbyhorse of magnetic systems: the Ising model. European Journal of Physics, Vol. 37, Issue. 6, p. 065103.

    Šimonka, V. Hössinger, A. Weinbub, J. and Selberherr, S. 2016. Growth rates of dry thermal oxidation of 4H-silicon carbide. Journal of Applied Physics, Vol. 120, Issue. 13, p. 135705.

    Kuno, Yoshihito Sakane, Shinya Kasamatsu, Kenichi Ichinose, Ikuo and Matsui, Tetsuo 2016. Atomic quantum simulation of a three-dimensional U(1) gauge-Higgs model. Physical Review A, Vol. 94, Issue. 6,

    Longo, G Micca Longo, S and Giordano, D 2015. Spherically confined H2+: $^{2}\Sigma _{g}^{+}$ and $^{2}\Sigma _{u}^{+}$ states. Physica Scripta, Vol. 90, Issue. 2, p. 025403.

    Weppner, Stephen 2015. A different perspective on scientific programming [review of "annotated algorithms in python; with applications in physics, biology, and finance" (di pierro, m.; 2013)]. Computing in Science & Engineering, Vol. 17, Issue. 1, p. 6.

    Inack, E. M. and Pilati, S. 2015. Simulated quantum annealing of double-well and multiwell potentials. Physical Review E, Vol. 92, Issue. 5,

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  • 2nd edition
  • Jos Thijssen, Technische Universiteit Delft, The Netherlands

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    Computational Physics
    • Online ISBN: 9781139171397
    • Book DOI: https://doi.org/10.1017/CBO9781139171397
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Book description

First published in 2007, this second edition describes the computational methods used in theoretical physics. New sections were added to cover finite element methods and lattice Boltzmann simulation, density functional theory, quantum molecular dynamics, Monte Carlo simulation, and diagonalisation of one-dimensional quantum systems. It covers many different areas of physics research and different computational methodologies, including computational methods such as Monte Carlo and molecular dynamics, various electronic structure methodologies, methods for solving partial differential equations, and lattice gauge theory. Throughout the book the relations between the methods used in different fields of physics are emphasised. Several new programs are described and can be downloaded from www.cambridge.org/9781107677135. The book requires a background in elementary programming, numerical analysis, and field theory, as well as undergraduate knowledge of condensed matter theory and statistical physics. It will be of interest to graduate students and researchers in theoretical, computational and experimental physics.

Reviews

‘The growing importance of computational physics to physics research as a whole will depend not only on increasingly powerful computers, but also on the continuing development of algorithms and numerical techniques for putting these machines to use. Furthermore, physics departments will need to augment their curricula to provide students with the skills needed to perform research using computers … In Computational Physics, [Jos] Thijssen has produced a book that is well suited to meeting these needs … This book makes it easier to approach a new topic and encourages the reader to consider a modular approach when writing programs.'

Source: Physics Today

'… I find this book very useful since it provides a thorough discussion of the computational methods used in physics combined with an extensive presentation of the underlying physics … On the one hand an experienced researcher can easily transfer the obtained knowledge from this book to a particular research topic, while on the other hand a newcomer in the field will benefit from the presentation of the subject from first principles.'

Lampros Nikolopoulos Source: Contemporary Physics

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