Two-dimensional topological materials discovery by symmetry-indicator method
Two-dimensional topological materials discovery by symmetry-indicator method
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DOI：
10.1103/physrevb.100.195108
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发表时间：
2019-06
影响因子：
3.7
通讯作者：
Di Wang;F. Tang;Jialin Ji;Wenqing Zhang;A. Vishwanath;H. Po;X. Wan
中科院分区：
文献类型：
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作者：
Di Wang;F. Tang;Jialin Ji;Wenqing Zhang;A. Vishwanath;H. Po;X. Wan
二维（2D）拓扑材料（TM）由于具有非耗散电流或自旋电流的革命性器件的前景而引起了极大的关注。不幸的是，2D TM的稀缺性阻碍了这种设备的实验实现。在这项工作中，基于我们最近开发的，高效的TM发现算法使用对称指标，我们探索可能的2D TM在所有非磁性化合物在最近提出的材料数据库中可能的2D材料。我们确定了数百个二维TM候选人，包括205拓扑（晶体）绝缘体和299拓扑半金属。特别是，我们强调MoS，与镜像陈数为-4，作为一个可能的实验平台，用于研究相互作用引起的修改材料的拓扑分类。我们的研究结果筛选出拓扑有趣的二维材料从这些数据库，并提供了TM基因库，为进一步的实验研究。
Two-dimensional (2D) topological materials (TMs) have attracted tremendous attention due to the promise of revolutionary devices with non-dissipative electric or spin currents. Unfortunately, the scarcity of 2D TMs holds back the experimental realization of such devices. In this work, based on our recently developed, highly efficient TM discovery algorithm using symmetry indicators, we explore the possible 2D TMs in all non-magnetic compounds in four recently proposed materials databases for possible 2D materials. We identify hundreds of 2D TM candidates, including 205 topological (crystalline) insulators and 299 topological semimetals. In particular, we highlight MoS, with a mirror Chern number of -4, as a possible experimental platform for studying the interaction-induced modification to the topological classification of materials. Our results winnow out the topologically interesting 2D materials from these databases and provide a TM gene pool which for further experimental studies.