2020
DOI: 10.48550/arxiv.2008.11213
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Engineering Topological Phases Guided by Statistical and Machine Learning Methods

Thomas Mertz,
Roser Valentí
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“…To understand even the minimal models-applicable to arbitrary unconventional superconductors-continued development of numerical methods is needed to predict properties, in order to compare with experiments and characterize the models. • Finally, the implementation of ML algorithms and statistical methods [204,205] may be useful in the search, design and prediction of unconventional superconductors.…”
Section: Current and Future Challengesmentioning
confidence: 99%
“…To understand even the minimal models-applicable to arbitrary unconventional superconductors-continued development of numerical methods is needed to predict properties, in order to compare with experiments and characterize the models. • Finally, the implementation of ML algorithms and statistical methods [204,205] may be useful in the search, design and prediction of unconventional superconductors.…”
Section: Current and Future Challengesmentioning
confidence: 99%