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Artificial intelligence for artificial materials: moir\'e atom

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arxiv 2303.08162 v2 pith:5DQF7JAQ submitted 2023-03-14 cond-mat.str-el cond-mat.mes-hallcs.LGphysics.comp-phquant-ph

Artificial intelligence for artificial materials: moir\'e atom

Di Luo , Aidan P. Reddy , Trithep Devakul , Liang Fu This is my paper
classification cond-mat.str-el cond-mat.mes-hallcs.LGphysics.comp-phquant-ph
keywords moirartificialatommaterialspotentialanisotropicatomicallycharge
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Moir\'e engineering in atomically thin van der Waals heterostructures creates artificial quantum materials with designer properties. We solve the many-body problem of interacting electrons confined to a moir\'e superlattice potential minimum (the moir\'e atom) using a 2D fermionic neural network. We show that strong Coulomb interactions in combination with the anisotropic moir\'e potential lead to striking ``Wigner molecule" charge density distributions observable with scanning tunneling microscopy.

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Cited by 4 Pith papers

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