The First Principle Approach in Estimating Bulk Modulus Based on Explicit Expression of Canonical Partition Function

The bulk modulus is one of the most important characteristic features of solids. Accordingly, we have developed a statistical-mechanical treatment based on an equation which enables us to calculate the bulk modulus for solids with the minimum manifold of input data. In our model, a conjunction betwe...

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Main Authors: H. Mangelli, M. Vafaeei, N. Mansoori Oghaz, B. Haghighi
Format: Article
Language:English
Published: Vasyl Stefanyk Precarpathian National University 2020-03-01
Series:Фізика і хімія твердого тіла
Subjects:
Online Access:https://journals.pnu.edu.ua/index.php/pcss/article/view/2990
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author H. Mangelli
M. Vafaeei
N. Mansoori Oghaz
B. Haghighi
author_facet H. Mangelli
M. Vafaeei
N. Mansoori Oghaz
B. Haghighi
author_sort H. Mangelli
collection DOAJ
description The bulk modulus is one of the most important characteristic features of solids. Accordingly, we have developed a statistical-mechanical treatment based on an equation which enables us to calculate the bulk modulus for solids with the minimum manifold of input data. In our model, a conjunction between Gruneisen parameter and canonical partition function has been established. We have found out that the volume dependency of Gruneisen parameter is critical in estimating bulk modulus. The result for hexagonal closed- packed (hcp) iron is very good and commensurate with the best measurements. This framework can be extended to the other elemental solids or a variety of compounds.
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spelling doaj.art-a67c8d023f9e481eb35e5265d12569a32022-12-22T01:08:07ZengVasyl Stefanyk Precarpathian National UniversityФізика і хімія твердого тіла1729-44282309-85892020-03-01211616710.15330/pcss.21.1.61-672990The First Principle Approach in Estimating Bulk Modulus Based on Explicit Expression of Canonical Partition FunctionH. Mangelli0M. Vafaeei1N. Mansoori Oghaz2B. Haghighi3University of NeyshaburUniversity of NeyshaburFarhangian UniversityUniversity of NeyshaburThe bulk modulus is one of the most important characteristic features of solids. Accordingly, we have developed a statistical-mechanical treatment based on an equation which enables us to calculate the bulk modulus for solids with the minimum manifold of input data. In our model, a conjunction between Gruneisen parameter and canonical partition function has been established. We have found out that the volume dependency of Gruneisen parameter is critical in estimating bulk modulus. The result for hexagonal closed- packed (hcp) iron is very good and commensurate with the best measurements. This framework can be extended to the other elemental solids or a variety of compounds.https://journals.pnu.edu.ua/index.php/pcss/article/view/2990bulk moduluscanonical partition functiondensitygruneisen parameterstatistical mechanics
spellingShingle H. Mangelli
M. Vafaeei
N. Mansoori Oghaz
B. Haghighi
The First Principle Approach in Estimating Bulk Modulus Based on Explicit Expression of Canonical Partition Function
Фізика і хімія твердого тіла
bulk modulus
canonical partition function
density
gruneisen parameter
statistical mechanics
title The First Principle Approach in Estimating Bulk Modulus Based on Explicit Expression of Canonical Partition Function
title_full The First Principle Approach in Estimating Bulk Modulus Based on Explicit Expression of Canonical Partition Function
title_fullStr The First Principle Approach in Estimating Bulk Modulus Based on Explicit Expression of Canonical Partition Function
title_full_unstemmed The First Principle Approach in Estimating Bulk Modulus Based on Explicit Expression of Canonical Partition Function
title_short The First Principle Approach in Estimating Bulk Modulus Based on Explicit Expression of Canonical Partition Function
title_sort first principle approach in estimating bulk modulus based on explicit expression of canonical partition function
topic bulk modulus
canonical partition function
density
gruneisen parameter
statistical mechanics
url https://journals.pnu.edu.ua/index.php/pcss/article/view/2990
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