253 citations · 2.1k across the 44 of their papers we have counts for
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cond-mat.mtrl-sci2020★ 12 cited
Interpretable, calibrated neural networks for analysis and understanding of inelastic neutron scattering data
Keith T. Butler, Manh Duc Le, Jeyarajan Thiyagalingam +1
Deep neural networks provide flexible frameworks for learning data representations and functions relating data to other properties and are often claimed to achieve 'super-human' pe…
cond-mat.str-el2020★ 63 cited
Crystalline Electric-Field Excitations in Quantum Spin Liquids Candidate
Zheng Zhang, Xiaoli Ma, Jianshu Li +10
Very recently we revealed a large family of triangular lattice quantum spin liquid candidates named rare-earth chalcogenides, which features a high-symmetry structure without struc…