Overview
- Nominated as an outstanding PhD thesis by the University of Cambridge, UK
- Enables the calculation of partition functions as explicit functions of temperature for realistic models of materials directly from atomic interactions
- Allows the determination of complete phase diagrams and pressure–volume–temperature equations of state
- Illustrates the efficiency of the algorithm which paves the way for the automated calculation of phase diagrams
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Theses (Springer Theses)
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Table of contents (13 chapters)
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Front Matter
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Statistical and Thermal Physics
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Front Matter
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Molecular Dynamics Nested Sampling
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Front Matter
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Conclusion
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Front Matter
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Back Matter
Keywords
About this book
Authors and Affiliations
About the author
Bibliographic Information
Book Title: Classical Statistical Mechanics with Nested Sampling
Authors: Robert John Nicholas Baldock
Series Title: Springer Theses
DOI: https://doi.org/10.1007/978-3-319-66769-0
Publisher: Springer Cham
eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)
Copyright Information: Springer International Publishing AG 2017
Hardcover ISBN: 978-3-319-66768-3Published: 28 November 2017
Softcover ISBN: 978-3-319-88317-5Published: 04 September 2018
eBook ISBN: 978-3-319-66769-0Published: 16 November 2017
Series ISSN: 2190-5053
Series E-ISSN: 2190-5061
Edition Number: 1
Number of Pages: XII, 144
Number of Illustrations: 5 b/w illustrations, 25 illustrations in colour
Topics: Complex Systems, Phase Transitions and Multiphase Systems, Numerical and Computational Physics, Simulation, Statistical Physics and Dynamical Systems