most citedDeep learning methods for Hamiltonian parameter estimation and magnetic domain image generation in twisted van der Waals magnets

4 citations · 4 across the 1 of their papers we have counts for

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1 paper

cond-mat.str-el2024★ 4 cited

Deep learning methods for Hamiltonian parameter estimation and magnetic domain image generation in twisted van der Waals magnets

Woo Seok Lee, Taegeun Song, Kyoung-Min Kim

The application of twist engineering in van der Waals magnets has opened new frontiers in the field of two-dimensional magnetism, yielding distinctive magnetic domain structures. D…