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A global equation-of-state model from mathematical interpolation between low- and high-density limits
The ideal gas equation of state (EOS) model is a well-known low-density limiting model. Recently, an ideal dense matter EOS model for the high-density limit symmetric to the ideal gas model has been developed. Here, by mathematically interpolating between the ideal gas and ideal dense matter limitin...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9307579/ https://www.ncbi.nlm.nih.gov/pubmed/35869101 http://dx.doi.org/10.1038/s41598-022-16016-6 |
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author | Xue, Ti-Wei Guo, Zeng-Yuan |
author_facet | Xue, Ti-Wei Guo, Zeng-Yuan |
author_sort | Xue, Ti-Wei |
collection | PubMed |
description | The ideal gas equation of state (EOS) model is a well-known low-density limiting model. Recently, an ideal dense matter EOS model for the high-density limit symmetric to the ideal gas model has been developed. Here, by mathematically interpolating between the ideal gas and ideal dense matter limiting models, we establish a global model containing two EOS in the form of P-V-T and P-S-T for arbitrary ranges of densities. Different from empirical or semi-empirical EOS, the coefficients in the global EOS have a clear physical meaning and can be determined from a priori knowledge. The proposed global model is thermodynamically consistent and continuous. It reduces to the ideal gas model when approaching the low-density limit and to the ideal dense matter model when approaching the high-density limit. Verifications for (4)He show that the global model reproduces the large-range behavior of matter well, along with providing important insight into the nature of the large-range behavior. Compared to the third-order virial EOS and the Benedict–Webb–Rubin EOS, the global P-V-T EOS has higher descriptive accuracy with fewer coefficients over a wide range of data for N(2). The global model is shown to work well in extreme applied sciences. It predicts a linear, inverse relationship between entropy and volume when the temperature-to-pressure ratio is constant, which can explain the entropy-production behavior in shock-Hugoniots. |
format | Online Article Text |
id | pubmed-9307579 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-93075792022-07-24 A global equation-of-state model from mathematical interpolation between low- and high-density limits Xue, Ti-Wei Guo, Zeng-Yuan Sci Rep Article The ideal gas equation of state (EOS) model is a well-known low-density limiting model. Recently, an ideal dense matter EOS model for the high-density limit symmetric to the ideal gas model has been developed. Here, by mathematically interpolating between the ideal gas and ideal dense matter limiting models, we establish a global model containing two EOS in the form of P-V-T and P-S-T for arbitrary ranges of densities. Different from empirical or semi-empirical EOS, the coefficients in the global EOS have a clear physical meaning and can be determined from a priori knowledge. The proposed global model is thermodynamically consistent and continuous. It reduces to the ideal gas model when approaching the low-density limit and to the ideal dense matter model when approaching the high-density limit. Verifications for (4)He show that the global model reproduces the large-range behavior of matter well, along with providing important insight into the nature of the large-range behavior. Compared to the third-order virial EOS and the Benedict–Webb–Rubin EOS, the global P-V-T EOS has higher descriptive accuracy with fewer coefficients over a wide range of data for N(2). The global model is shown to work well in extreme applied sciences. It predicts a linear, inverse relationship between entropy and volume when the temperature-to-pressure ratio is constant, which can explain the entropy-production behavior in shock-Hugoniots. Nature Publishing Group UK 2022-07-22 /pmc/articles/PMC9307579/ /pubmed/35869101 http://dx.doi.org/10.1038/s41598-022-16016-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Xue, Ti-Wei Guo, Zeng-Yuan A global equation-of-state model from mathematical interpolation between low- and high-density limits |
title | A global equation-of-state model from mathematical interpolation between low- and high-density limits |
title_full | A global equation-of-state model from mathematical interpolation between low- and high-density limits |
title_fullStr | A global equation-of-state model from mathematical interpolation between low- and high-density limits |
title_full_unstemmed | A global equation-of-state model from mathematical interpolation between low- and high-density limits |
title_short | A global equation-of-state model from mathematical interpolation between low- and high-density limits |
title_sort | global equation-of-state model from mathematical interpolation between low- and high-density limits |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9307579/ https://www.ncbi.nlm.nih.gov/pubmed/35869101 http://dx.doi.org/10.1038/s41598-022-16016-6 |
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