Machine‐Learning Spectral Indicators of Topology

Machine‐Learning Spectral Indicators of Topology

Topological materials discovery has emerged as an important frontier in condensed matter physics. While theoretical classification frameworks have been used to identify thousands of candidate topological materials, experimental determination of materials' topology often poses significant techni...

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Bibliographic Details
Main Authors: Andrejevic, Nina, Andrejevic, Jovana, Bernevig, B Andrei, Regnault, Nicolas, Han, Fei, Fabbris, Gilberto, Nguyen, Thanh, Drucker, Nathan C, Rycroft, Chris H, Li, Mingda
Other Authors: Massachusetts Institute of Technology. Department of Nuclear Science and Engineering
Format: Article
Language:English
Published: Wiley 2023
Online Access:https://hdl.handle.net/1721.1/147614

Internet

https://hdl.handle.net/1721.1/147614

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