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Computation and data driven discovery of topological phononic materials

The discovery of topological quantum states marks a new chapter in both condensed matter physics and materials sciences. By analogy to spin electronic system, topological concepts have been extended into phonons, boosting the birth of topological phononics (TPs). Here, we present a high-throughput s...

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Autores principales: Li, Jiangxu, Liu, Jiaxi, Baronett, Stanley A., Liu, Mingfeng, Wang, Lei, Li, Ronghan, Chen, Yun, Li, Dianzhong, Zhu, Qiang, Chen, Xing-Qiu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7900202/
https://www.ncbi.nlm.nih.gov/pubmed/33619273
http://dx.doi.org/10.1038/s41467-021-21293-2
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author Li, Jiangxu
Liu, Jiaxi
Baronett, Stanley A.
Liu, Mingfeng
Wang, Lei
Li, Ronghan
Chen, Yun
Li, Dianzhong
Zhu, Qiang
Chen, Xing-Qiu
author_facet Li, Jiangxu
Liu, Jiaxi
Baronett, Stanley A.
Liu, Mingfeng
Wang, Lei
Li, Ronghan
Chen, Yun
Li, Dianzhong
Zhu, Qiang
Chen, Xing-Qiu
author_sort Li, Jiangxu
collection PubMed
description The discovery of topological quantum states marks a new chapter in both condensed matter physics and materials sciences. By analogy to spin electronic system, topological concepts have been extended into phonons, boosting the birth of topological phononics (TPs). Here, we present a high-throughput screening and data-driven approach to compute and evaluate TPs among over 10,000 real materials. We have discovered 5014 TP materials and grouped them into two main classes of Weyl and nodal-line (ring) TPs. We have clarified the physical mechanism for the occurrence of single Weyl, high degenerate Weyl, individual nodal-line (ring), nodal-link, nodal-chain, and nodal-net TPs in various materials and their mutual correlations. Among the phononic systems, we have predicted the hourglass nodal net TPs in TeO(3), as well as the clean and single type-I Weyl TPs between the acoustic and optical branches in half-Heusler LiCaAs. In addition, we found that different types of TPs can coexist in many materials (such as ScZn). Their potential applications and experimental detections have been discussed. This work substantially increases the amount of TP materials, which enables an in-depth investigation of their structure-property relations and opens new avenues for future device design related to TPs.
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spelling pubmed-79002022021-03-05 Computation and data driven discovery of topological phononic materials Li, Jiangxu Liu, Jiaxi Baronett, Stanley A. Liu, Mingfeng Wang, Lei Li, Ronghan Chen, Yun Li, Dianzhong Zhu, Qiang Chen, Xing-Qiu Nat Commun Article The discovery of topological quantum states marks a new chapter in both condensed matter physics and materials sciences. By analogy to spin electronic system, topological concepts have been extended into phonons, boosting the birth of topological phononics (TPs). Here, we present a high-throughput screening and data-driven approach to compute and evaluate TPs among over 10,000 real materials. We have discovered 5014 TP materials and grouped them into two main classes of Weyl and nodal-line (ring) TPs. We have clarified the physical mechanism for the occurrence of single Weyl, high degenerate Weyl, individual nodal-line (ring), nodal-link, nodal-chain, and nodal-net TPs in various materials and their mutual correlations. Among the phononic systems, we have predicted the hourglass nodal net TPs in TeO(3), as well as the clean and single type-I Weyl TPs between the acoustic and optical branches in half-Heusler LiCaAs. In addition, we found that different types of TPs can coexist in many materials (such as ScZn). Their potential applications and experimental detections have been discussed. This work substantially increases the amount of TP materials, which enables an in-depth investigation of their structure-property relations and opens new avenues for future device design related to TPs. Nature Publishing Group UK 2021-02-22 /pmc/articles/PMC7900202/ /pubmed/33619273 http://dx.doi.org/10.1038/s41467-021-21293-2 Text en © The Author(s) 2021 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/.
spellingShingle Article
Li, Jiangxu
Liu, Jiaxi
Baronett, Stanley A.
Liu, Mingfeng
Wang, Lei
Li, Ronghan
Chen, Yun
Li, Dianzhong
Zhu, Qiang
Chen, Xing-Qiu
Computation and data driven discovery of topological phononic materials
title Computation and data driven discovery of topological phononic materials
title_full Computation and data driven discovery of topological phononic materials
title_fullStr Computation and data driven discovery of topological phononic materials
title_full_unstemmed Computation and data driven discovery of topological phononic materials
title_short Computation and data driven discovery of topological phononic materials
title_sort computation and data driven discovery of topological phononic materials
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7900202/
https://www.ncbi.nlm.nih.gov/pubmed/33619273
http://dx.doi.org/10.1038/s41467-021-21293-2
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