Supervised ML trained on field- and bias-dependent conductance extracts the q-vector of arbitrary spin-spiral magnets in 2D moiré systems.
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3 Pith papers cite this work. Polarity classification is still indexing.
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A purely electronic model for exciton-polarons in moiré lattices predicts density-dependent mass renormalization and sign change near correlated insulators.
Pressure tunes band flatness and geometry in tMoTe2 to control FCI and GWC phases and their topological transitions at fractional fillings.
citing papers explorer
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Hamiltonian learning for spin-spiral moir\'e magnets from electronic magnetotransport
Supervised ML trained on field- and bias-dependent conductance extracts the q-vector of arbitrary spin-spiral magnets in 2D moiré systems.
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Purely electronic model for exciton-polaron formation in moir\'e heterostructures
A purely electronic model for exciton-polarons in moiré lattices predicts density-dependent mass renormalization and sign change near correlated insulators.
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Pressure-Tunable Generalized Wigner Crystal and Fractional Chern Insulator in twisted MoTe$_2$
Pressure tunes band flatness and geometry in tMoTe2 to control FCI and GWC phases and their topological transitions at fractional fillings.