Zero-point energy corrections from quantum fluctuations destabilize the classical honeycomb bilayer Wigner crystal and stabilize the 30-degree quasicrystalline state over a broad parameter range.
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cond-mat.str-el 3years
2026 3verdicts
UNVERDICTED 3representative citing papers
QERNEL is a single conditioned neural wavefunction that variationally solves families of many-electron Hamiltonians in moiré heterobilayers and identifies the quantum liquid-crystal phase transition.
A learnable Gaussian basis transformation lowers variational energies in neural-network variational Monte Carlo for the three-dimensional homogeneous electron gas.
citing papers explorer
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Quantum Electron Quasicrystal
Zero-point energy corrections from quantum fluctuations destabilize the classical honeycomb bilayer Wigner crystal and stabilize the 30-degree quasicrystalline state over a broad parameter range.
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QERNEL: a Scalable Large Electron Model
QERNEL is a single conditioned neural wavefunction that variationally solves families of many-electron Hamiltonians in moiré heterobilayers and identifies the quantum liquid-crystal phase transition.
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Enhancing Neural-Network Variational Monte Carlo through Basis Transformation
A learnable Gaussian basis transformation lowers variational energies in neural-network variational Monte Carlo for the three-dimensional homogeneous electron gas.