Classical Statistical Mechanics with Nested Sampling

This thesis develops a nested sampling algorithm into a black box tool for directly calculating the partition function, and thus the complete phase diagram of a material, from the interatomic potential energy function. It represents a significant step forward in our ability to accurately describe th...

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Bibliographic Details
Main Author: Baldock, Robert John Nicholas
Format: eBook
Language:English
Published: Cham Springer International Publishing 2017, 2017
Edition:1st ed. 2017
Series:Springer Theses, Recognizing Outstanding Ph.D. Research
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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245 0 0 |a Classical Statistical Mechanics with Nested Sampling  |h Elektronische Ressource  |c by Robert John Nicholas Baldock 
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260 |a Cham  |b Springer International Publishing  |c 2017, 2017 
300 |a XII, 144 p. 30 illus., 25 illus. in color  |b online resource 
505 0 |a Introduction -- A Primer in Probability -- Phase Space Probability Distributions for Various External Conditions -- Relating Probability Density Functions to the Behaviour of Systems -- The Strategy of Nested Sampling -- Nested Sampling for Materials -- Equations of State -- Parallelising Nested Sampling -- Hamiltonian Monte Carlo for the Canonical Distribution -- Hamiltonian Monte Carlo for Nested Sampling -- Conclusion of Thesis and Further Work 
653 |a Complex Systems 
653 |a Phase Transitions and Multiphase Systems 
653 |a System theory 
653 |a Mathematical physics 
653 |a Theoretical, Mathematical and Computational Physics 
653 |a Condensed matter 
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490 0 |a Springer Theses, Recognizing Outstanding Ph.D. Research 
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520 |a This thesis develops a nested sampling algorithm into a black box tool for directly calculating the partition function, and thus the complete phase diagram of a material, from the interatomic potential energy function. It represents a significant step forward in our ability to accurately describe the finite temperature properties of materials. In principle, the macroscopic phases of matter are related to the microscopic interactions of atoms by statistical mechanics and the partition function. In practice, direct calculation of the partition function has proved infeasible for realistic models of atomic interactions, even with modern atomistic simulation methods. The thesis also shows how the output of nested sampling calculations can be processed to calculate the complete PVT (pressure–volume–temperature) equation of state for a material, and applies the nested sampling algorithm to calculate the pressure–temperature phase diagrams of aluminium and a model binary alloy