arXiv · 2303.08162
Artificial intelligence for artificial materials: moir\'e atom
Abstract
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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Di Luo, Aidan P. Reddy, Trithep Devakul, Liang Fu. 2023-03-14. Artificial intelligence for artificial materials: moir\'e atom. https://arxiv.org/abs/2303.08162
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