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Machine learning guided discovery of stable, spin-resolved topological insulators
KTH, Centres, Nordic Institute for Theoretical Physics NORDITA. Nordita, Stockholm University 106 91 Stockholm, Sweden; Department of Physics, University of Connecticut, Storrs, Connecticut 06269, USA.ORCID iD: 0000-0003-4265-1824
2024 (English)In: Physical Review Research, E-ISSN 2643-1564, Vol. 6, no 2, article id 023316Article in journal (Refereed) Published
Abstract [en]

Identification of a nontrivial Z2 index in a spinful two-dimensional insulator indicates the presence of an odd, quantized (pseudo)spin-resolved Chern number, Cs=(C↑-C↓)/2. However, the statement is not biconditional. An odd spin-Chern number can survive when the familiar Z2 index vanishes. Identification of solid-state systems hosting an odd, quantized Cs and trivial Z2 index is a pressing issue due to the potential for such insulators to admit band gaps optimal for experiments and quantum devices. Nevertheless, they have proven elusive due to the computational expense associated with their discovery. In this work, a neural network capable of identifying the spin-Chern number is developed and used to identify the first solid-state systems hosting a trivial Z2 index and odd Cs. We demonstrate the potential of one such system, Ti2CO2, to support Majorana corner modes via the superconducting proximity effect.

Place, publisher, year, edition, pages
American Physical Society (APS) , 2024. Vol. 6, no 2, article id 023316
National Category
Condensed Matter Physics
Identifiers
URN: urn:nbn:se:kth:diva-349921DOI: 10.1103/PhysRevResearch.6.023316ISI: 001255082300001Scopus ID: 2-s2.0-85196871756OAI: oai:DiVA.org:kth-349921DiVA, id: diva2:1881705
Note

QC 20240705

Available from: 2024-07-03 Created: 2024-07-03 Last updated: 2024-07-05Bibliographically approved

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Tyner, Alexander

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