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Computation and data driven discovery of topological phononic materials

Author

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  • Jiangxu Li

    (Chinese Academy of Sciences
    University of Science and Technology of China)

  • Jiaxi Liu

    (Chinese Academy of Sciences
    University of Science and Technology of China)

  • Stanley A. Baronett

    (University of Nevada)

  • Mingfeng Liu

    (Chinese Academy of Sciences
    University of Science and Technology of China)

  • Lei Wang

    (Chinese Academy of Sciences
    University of Science and Technology of China)

  • Ronghan Li

    (Chinese Academy of Sciences)

  • Yun Chen

    (Chinese Academy of Sciences
    University of Science and Technology of China)

  • Dianzhong Li

    (Chinese Academy of Sciences
    University of Science and Technology of China)

  • Qiang Zhu

    (University of Nevada)

  • Xing-Qiu Chen

    (Chinese Academy of Sciences
    University of Science and Technology of China)

Abstract

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 TeO3, 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.

Suggested Citation

  • Jiangxu Li & Jiaxi Liu & Stanley A. Baronett & Mingfeng Liu & Lei Wang & Ronghan Li & Yun Chen & Dianzhong Li & Qiang Zhu & Xing-Qiu Chen, 2021. "Computation and data driven discovery of topological phononic materials," Nature Communications, Nature, vol. 12(1), pages 1-12, December.
  • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-21293-2
    DOI: 10.1038/s41467-021-21293-2
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