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Machine learning spectral indicators of topology

By Nina Andrejevic and others
Topological materials discovery has emerged as an important frontier in condensed matter physics. Recent theoretical approaches based on symmetry indicators and topological quantum chemistry have been used to identify thousands of candidate topological materials, yet experimental determination of materials' topology often poses significant technical challenges. X-ray absorption spectroscopy (XAS) is... Show more
March 18, 2020
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Machine learning spectral indicators of topology
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