Computation and data driven discovery of topological phononic materials
Topological phononic (TP) materials are attracting wide attentions and it is more difficult to seek TP materials compared to electronic materials. Here, the authors present a high-throughput screening and data-driven approach to discover 5014 TP materials and further clarify the mechanism for the oc...
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Nature Publishing Group
2021-02-01
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Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-021-21293-2 |
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doaj-60c82a4baa92453c9765d7015b80da352021-02-23T09:11:44ZengNature Publishing GroupNature Communications2041-17232021-02-0112111210.1038/s41467-021-21293-2Computation and data driven discovery of topological phononic materialsJiangxu Li0Jiaxi Liu1Stanley A. Baronett2Mingfeng Liu3Lei Wang4Ronghan Li5Yun Chen6Dianzhong Li7Qiang Zhu8Xing-Qiu Chen9Shenyang National Laboratory for Materials Science, Institute of Metal Research, Chinese Academy of SciencesShenyang National Laboratory for Materials Science, Institute of Metal Research, Chinese Academy of SciencesDepartment of Physics and Astronomy, University of NevadaShenyang National Laboratory for Materials Science, Institute of Metal Research, Chinese Academy of SciencesShenyang National Laboratory for Materials Science, Institute of Metal Research, Chinese Academy of SciencesShenyang National Laboratory for Materials Science, Institute of Metal Research, Chinese Academy of SciencesShenyang National Laboratory for Materials Science, Institute of Metal Research, Chinese Academy of SciencesShenyang National Laboratory for Materials Science, Institute of Metal Research, Chinese Academy of SciencesDepartment of Physics and Astronomy, University of NevadaShenyang National Laboratory for Materials Science, Institute of Metal Research, Chinese Academy of SciencesTopological phononic (TP) materials are attracting wide attentions and it is more difficult to seek TP materials compared to electronic materials. Here, the authors present a high-throughput screening and data-driven approach to discover 5014 TP materials and further clarify the mechanism for the occurrence of various TPs.https://doi.org/10.1038/s41467-021-21293-2 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jiangxu Li Jiaxi Liu Stanley A. Baronett Mingfeng Liu Lei Wang Ronghan Li Yun Chen Dianzhong Li Qiang Zhu Xing-Qiu Chen |
spellingShingle |
Jiangxu Li Jiaxi Liu Stanley A. Baronett Mingfeng Liu Lei Wang Ronghan Li Yun Chen Dianzhong Li Qiang Zhu Xing-Qiu Chen Computation and data driven discovery of topological phononic materials Nature Communications |
author_facet |
Jiangxu Li Jiaxi Liu Stanley A. Baronett Mingfeng Liu Lei Wang Ronghan Li Yun Chen Dianzhong Li Qiang Zhu Xing-Qiu Chen |
author_sort |
Jiangxu Li |
title |
Computation and data driven discovery of topological phononic materials |
title_short |
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_sort |
computation and data driven discovery of topological phononic materials |
publisher |
Nature Publishing Group |
series |
Nature Communications |
issn |
2041-1723 |
publishDate |
2021-02-01 |
description |
Topological phononic (TP) materials are attracting wide attentions and it is more difficult to seek TP materials compared to electronic materials. Here, the authors present a high-throughput screening and data-driven approach to discover 5014 TP materials and further clarify the mechanism for the occurrence of various TPs. |
url |
https://doi.org/10.1038/s41467-021-21293-2 |
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