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Phonon-mediated superconductivity in [Formula: see text] compounds: a crystal prediction via cluster expansion and particle-swarm optimization
Investigating superconductivity represents one of the most significant phenomena in the field of condensed matter physics. Our simulations aim to elucidate the structures in the metallic state of Mg(1−x)Mo(x)B(2), which is essential for predicting their superconducting properties. By employing a fir...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10662459/ https://www.ncbi.nlm.nih.gov/pubmed/37985841 http://dx.doi.org/10.1038/s41598-023-44632-3 |
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author | Tsuppayakorn-aek, Prutthipong Luo, Wei Ahuja, Rajeev Bovornratanaraks, Thiti |
author_facet | Tsuppayakorn-aek, Prutthipong Luo, Wei Ahuja, Rajeev Bovornratanaraks, Thiti |
author_sort | Tsuppayakorn-aek, Prutthipong |
collection | PubMed |
description | Investigating superconductivity represents one of the most significant phenomena in the field of condensed matter physics. Our simulations aim to elucidate the structures in the metallic state of Mg(1−x)Mo(x)B(2), which is essential for predicting their superconducting properties. By employing a first-principle cluster expansion and particle-swarm optimization, we have predicted the structures of Mg(1−x)Mo(x)B(2) ternary alloys, including Mg(0.667)Mo(0.333)B(2), Mg(0.5)Mo(0.5)B(2), and Mg(0.333)Mo(0.667)B(2), and have determined their thermodynamically stable configurations under both atmospheric and high-pressure conditions. To investigate the potential for superconductivity in these structures, we have conducted a detailed examination of electronic properties that are pertinent to determining the superconducting state. Regarding superconducting properties, Mg(0.333)Mo(0.667)B(2) exhibits superconductivity with a critical temperature (T(c)) of 7.4 K at ambient pressure. These findings suggest that the theoretically predicted structures in Mg/Mo-substituted metal borides could play a significant role in synthesis and offer valuable insights into superconducting materials. |
format | Online Article Text |
id | pubmed-10662459 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-106624592023-11-20 Phonon-mediated superconductivity in [Formula: see text] compounds: a crystal prediction via cluster expansion and particle-swarm optimization Tsuppayakorn-aek, Prutthipong Luo, Wei Ahuja, Rajeev Bovornratanaraks, Thiti Sci Rep Article Investigating superconductivity represents one of the most significant phenomena in the field of condensed matter physics. Our simulations aim to elucidate the structures in the metallic state of Mg(1−x)Mo(x)B(2), which is essential for predicting their superconducting properties. By employing a first-principle cluster expansion and particle-swarm optimization, we have predicted the structures of Mg(1−x)Mo(x)B(2) ternary alloys, including Mg(0.667)Mo(0.333)B(2), Mg(0.5)Mo(0.5)B(2), and Mg(0.333)Mo(0.667)B(2), and have determined their thermodynamically stable configurations under both atmospheric and high-pressure conditions. To investigate the potential for superconductivity in these structures, we have conducted a detailed examination of electronic properties that are pertinent to determining the superconducting state. Regarding superconducting properties, Mg(0.333)Mo(0.667)B(2) exhibits superconductivity with a critical temperature (T(c)) of 7.4 K at ambient pressure. These findings suggest that the theoretically predicted structures in Mg/Mo-substituted metal borides could play a significant role in synthesis and offer valuable insights into superconducting materials. Nature Publishing Group UK 2023-11-20 /pmc/articles/PMC10662459/ /pubmed/37985841 http://dx.doi.org/10.1038/s41598-023-44632-3 Text en © The Author(s) 2023 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 Tsuppayakorn-aek, Prutthipong Luo, Wei Ahuja, Rajeev Bovornratanaraks, Thiti Phonon-mediated superconductivity in [Formula: see text] compounds: a crystal prediction via cluster expansion and particle-swarm optimization |
title | Phonon-mediated superconductivity in [Formula: see text] compounds: a crystal prediction via cluster expansion and particle-swarm optimization |
title_full | Phonon-mediated superconductivity in [Formula: see text] compounds: a crystal prediction via cluster expansion and particle-swarm optimization |
title_fullStr | Phonon-mediated superconductivity in [Formula: see text] compounds: a crystal prediction via cluster expansion and particle-swarm optimization |
title_full_unstemmed | Phonon-mediated superconductivity in [Formula: see text] compounds: a crystal prediction via cluster expansion and particle-swarm optimization |
title_short | Phonon-mediated superconductivity in [Formula: see text] compounds: a crystal prediction via cluster expansion and particle-swarm optimization |
title_sort | phonon-mediated superconductivity in [formula: see text] compounds: a crystal prediction via cluster expansion and particle-swarm optimization |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10662459/ https://www.ncbi.nlm.nih.gov/pubmed/37985841 http://dx.doi.org/10.1038/s41598-023-44632-3 |
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