Efficient Topological Materials Discovery Using Symmetry Indicators
Feng Tang, Hoi Chun Po, Ashvin Vishwanath, and Xiangang Wan

TL;DR
This paper introduces an efficient method combining symmetry indicators with first-principles calculations to rapidly identify topological materials, leading to the discovery of numerous candidates with diverse topological phenomena.
Contribution
It integrates symmetry indicator theory into band-structure calculations, enabling fast identification of topological phases in real materials, which was previously challenging.
Findings
Discovered multiple topological material candidates within just 8 space groups.
Identified novel topological phases including TC insulators, Dirac semimetals, and nodal-line semimetals.
Demonstrated the method's efficiency in predicting topological properties across diverse materials.
Abstract
Although the richness of spatial symmetries has led to a rapidly expanding inventory of possible topological crystalline (TC) phases of electrons, physical realizations have been slow to materialize due to the practical difficulty to ascertaining band topology in realistic calculations. Here, we integrate the recently established theory of symmetry indicators of band topology into first-principle band-structure calculations, and test it on a databases of previously synthesized crystals. The combined algorithm is found to efficiently unearth topological materials and predict topological properties like protected surface states. On applying our algorithm to just 8 out of the 230 space groups, we already discover numerous materials candidates displaying a diversity of topological phenomena, which are simultaneously captured in a single sweep. The list includes recently proposed classes of…
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