Artificial intelligence for artificial materials: moiré atom
This work addresses the challenge of designing quantum materials with tailored properties for condensed matter physics and materials science, representing an incremental advancement in computational methods.
The researchers tackled the problem of modeling interacting electrons in moiré superlattices by solving the many-body problem using a 2D fermionic neural network, resulting in predictions of observable Wigner molecule charge density distributions.
Moiré 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 moiré superlattice potential minimum (the moiré atom) using a 2D fermionic neural network. We show that strong Coulomb interactions in combination with the anisotropic moiré potential lead to striking ``Wigner molecule" charge density distributions observable with scanning tunneling microscopy.