Computational statistical physics /
Providing a detailed and pedagogical account of the rapidly-growing field of computational statistical physics, this book covers both the theoretical foundations of equilibrium and non-equilibrium statistical physics, and also modern, computational applications such as percolation, random walks, mag...
Gespeichert in:
- Hauptverfasser:
- ,
- Format:
- Elektronisch E-Book
- Sprache:
- Englisch
- Veröffentlicht:
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Cambridge :
Cambridge University Press,
2021.
- Zusammenfassung:
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Providing a detailed and pedagogical account of the rapidly-growing field of computational statistical physics, this book covers both the theoretical foundations of equilibrium and non-equilibrium statistical physics, and also modern, computational applications such as percolation, random walks, magnetic systems, machine learning dynamics, and spreading processes on complex networks. A detailed discussion of molecular dynamics simulations is also included, a topic of great importance in biophysics and physical chemistry. The accessible and self-contained approach adopted by the authors makes this book suitable for teaching courses at graduate level, and numerous worked examples and end of chapter problems allow students to test their progress and understanding.
- Umfang:
- 1 online resource (xiii, 257 pages) : digital, PDF file(s).
- Anmerkungen:
- Title from publisher's bibliographic system (viewed on 24 Aug 2021).
- ISBN:
- 9781108882316 (ebook)
- DOI:
- 10.1017/9781108882316
- Schlagworte:
- Bezugswerke:
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Print version: 9781108841429
- Links:
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