15 citations · 24 across the 8 of their papers we have counts for
Showing 2024Show all
3 papers · 1 filter
cond-mat.str-el2024★ 15 cited
Solving and visualizing fractional quantum Hall wavefunctions with neural network
Yi Teng, David D. Dai, Liang Fu
We introduce an attention-based fermionic neural network (FNN) to variationally solve the problem of two-dimensional Coulomb electron gas in magnetic fields, a canonical platform f…
cond-mat.mes-hall2024★ 1 cited
Electron bubbles in highly excited states of the lowest Landau level
David D. Dai, Liang Fu
We study the entire energy spectrum of an electron droplet in the lowest Landau level. By exact diagonalization calculations, we find highly excited states in the middle of the spe…
cond-mat.str-el2024★ 1 cited
Simulating moiré quantum matter with neural network
Di Luo, David D. Dai, Liang Fu
Moiré materials provide an ideal platform for exploring quantum phases of matter. However, solving the many-electron problem in moiré systems is challenging due to strong correlati…