Neural Network Discovery of Paired Wigner Crystals in Artificial Graphene
Conor Smith, Yubo Yang, Zhou-Quan Wan, Yixiao Chen, Miguel A. Morales, Shiwei Zhang

TL;DR
This paper uses neural network quantum Monte Carlo methods to discover a novel paired Wigner crystal state in a moiré honeycomb system at quarter filling, revealing complex collective phenomena in strongly interacting electrons.
Contribution
It introduces a neural-network-based approach to identify a new paired Wigner crystal state in a moiré system, highlighting a novel quantum many-body phenomenon.
Findings
Discovery of a paired Wigner crystal state at 1/4 filling.
Formation of singlet-like electron pairs restoring local symmetry.
Presence of a molecular Wigner crystal with depleted moiré minima.
Abstract
Moir\'e systems have emerged as an exciting tunable platform for engineering and probing quantum matter. A large number of exotic states have been observed, stimulating intense efforts in experiment, theory, and simulation. Utilizing a neural-network-based quantum Monte Carlo approach, we discover a new ground state of the two-dimensional electron gas in a honeycomb moire potential at a filling factor of (one electron every four moir\'e minima). In this state, two opposite-spin electrons pair to form a singlet-like valence bond state which restores local symmetry in hexagonal molecules each spanning moir\'e minima. These molecules of pairs then form a molecular Wigner crystal, leaving one quarter of the moir\'e minima mostly depleted. The formation of such a paired Wigner crystal, absent any confining potential or attractive interaction to facilitate…
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Taxonomy
TopicsQuantum many-body systems · Machine Learning in Materials Science · Advanced Physical and Chemical Molecular Interactions
