English

Artificial intelligence for artificial materials: moir\'e atom

Strongly Correlated Electrons 2023-03-28 v2 Mesoscale and Nanoscale Physics Machine Learning Computational Physics Quantum Physics

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.

Keywords

Cite

@article{arxiv.2303.08162,
  title  = {Artificial intelligence for artificial materials: moir\'e atom},
  author = {Di Luo and Aidan P. Reddy and Trithep Devakul and Liang Fu},
  journal= {arXiv preprint arXiv:2303.08162},
  year   = {2023}
}
R2 v1 2026-06-28T09:17:14.908Z