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Computational methods to simulate molten salt thermophysical properties

Molten salts are important thermal conductors used in molten salt reactors and solar applications. To use molten salts safely, accurate knowledge of their thermophysical properties is necessary. However, it is experimentally challenging to measure these properties and a comprehensive evaluation of t...

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Autores principales: Porter, Talmage, Vaka, Michael M., Steenblik, Parker, Della Corte, Dennis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9814384/
https://www.ncbi.nlm.nih.gov/pubmed/36697757
http://dx.doi.org/10.1038/s42004-022-00684-6
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author Porter, Talmage
Vaka, Michael M.
Steenblik, Parker
Della Corte, Dennis
author_facet Porter, Talmage
Vaka, Michael M.
Steenblik, Parker
Della Corte, Dennis
author_sort Porter, Talmage
collection PubMed
description Molten salts are important thermal conductors used in molten salt reactors and solar applications. To use molten salts safely, accurate knowledge of their thermophysical properties is necessary. However, it is experimentally challenging to measure these properties and a comprehensive evaluation of the full chemical space is unfeasible. Computational methods provide an alternative route to access these properties. Here, we summarize the developments in methods over the last 70 years and cluster them into three relevant eras. We review the main advances and limitations of each era and conclude with an optimistic perspective for the next decade, which will likely be dominated by emerging machine learning techniques. This article is aimed to help researchers in peripheral scientific domains understand the current challenges of molten salt simulation and identify opportunities to contribute.
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spelling pubmed-98143842023-01-10 Computational methods to simulate molten salt thermophysical properties Porter, Talmage Vaka, Michael M. Steenblik, Parker Della Corte, Dennis Commun Chem Review Article Molten salts are important thermal conductors used in molten salt reactors and solar applications. To use molten salts safely, accurate knowledge of their thermophysical properties is necessary. However, it is experimentally challenging to measure these properties and a comprehensive evaluation of the full chemical space is unfeasible. Computational methods provide an alternative route to access these properties. Here, we summarize the developments in methods over the last 70 years and cluster them into three relevant eras. We review the main advances and limitations of each era and conclude with an optimistic perspective for the next decade, which will likely be dominated by emerging machine learning techniques. This article is aimed to help researchers in peripheral scientific domains understand the current challenges of molten salt simulation and identify opportunities to contribute. Nature Publishing Group UK 2022-06-02 /pmc/articles/PMC9814384/ /pubmed/36697757 http://dx.doi.org/10.1038/s42004-022-00684-6 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Review Article
Porter, Talmage
Vaka, Michael M.
Steenblik, Parker
Della Corte, Dennis
Computational methods to simulate molten salt thermophysical properties
title Computational methods to simulate molten salt thermophysical properties
title_full Computational methods to simulate molten salt thermophysical properties
title_fullStr Computational methods to simulate molten salt thermophysical properties
title_full_unstemmed Computational methods to simulate molten salt thermophysical properties
title_short Computational methods to simulate molten salt thermophysical properties
title_sort computational methods to simulate molten salt thermophysical properties
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9814384/
https://www.ncbi.nlm.nih.gov/pubmed/36697757
http://dx.doi.org/10.1038/s42004-022-00684-6
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