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  5. Direct Calculation of Configurational Entropy: Pair Correlation Functions and Disorder
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Direct Calculation of Configurational Entropy: Pair Correlation Functions and Disorder

Date Issued
August 1, 2022
Author(s)
Sluss, Clifton C  
Advisor(s)
David J. Keffer
Additional Advisor(s)
Don M. Nicholson
Haikuan Xu
Orlando Rios
Permanent URI
https://trace.tennessee.edu/handle/20.500.14382/28529
Abstract

Techniques such as classical molecular dynamics [MD] simulation provide ready access to the thermodynamic data of model material systems. However, the calculation of the Helmholtz and Gibbs free energies remains a difficult task due to the tedious nature of extracting accurate values of the excess entropy from MD simulation data. Thermodynamic integration, a common technique for the calculation of entropy requires numerous simulations across a range of temperatures. Alternative approaches to the direct calculation of entropy based on functionals of pair correlation functions [PCF] have been developed over the years. This work builds upon the functional approach tradition by extending the recently developed entropy pair functional theory [EPFT] to three new material systems. Direct calculations of entropy for the BCC iron and FCC copper (modeled with the modified embedded atom method [MEAM] potential) and the Diamond Cubic silicon system (modeled with the Tersoff potential) are compared against a target entropy as determined by thermodynamic integration. The sources of and correction to the high temperature error in several proposed functional approaches is explored in depth. Finally, a working code is provided to the community via Github to implement the extended EFPT to compute entropy using trajectory files generated from a single simulation.

Subjects

entropy

computational materia...

statistical mechanics...

material science

Disciplines
Computational Engineering
Numerical Analysis and Scientific Computing
Other Materials Science and Engineering
Statistical, Nonlinear, and Soft Matter Physics
Degree
Doctor of Philosophy
Major
Materials Science and Engineering
File(s)
Thumbnail Image
Name

Sluss_Dissertation_1.3.docx

Size

31.27 MB

Format

Microsoft Word XML

Checksum (MD5)

ea5ff7f4a3b26156751995d57654f8b1

Thumbnail Image
Name

auto_convert.pdf

Size

2.1 MB

Format

Adobe PDF

Checksum (MD5)

c49f32ead8ee34805e6b29ec28614e60


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