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Classical Statistical Mechanics with Nested Sampling

Name: Classical Statistical Mechanics with Nested Sampling
Brand: Springer International Publishing AG
SKU: 21376115
Price: 39688 HUF
Availability: InStock
Author: Robert John Nicholas Baldock
ISBN: 9783319883175

Robert John Nicholas Baldock

Language

English

Book Paperback

Libristo code: 21376115

Publishers Springer International Publishing AG, September 2018

This thesis develops a nested sampling algorithm into a black box tool for directly calculating the... Full description

Libristo code: 21376115

271 b

39 688 Ft

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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.