145 citations · 524 across the 22 of their papers we have counts for
Showing 2026Show all
2 papers · 1 filter
cond-mat.mtrl-sci2026
Learning the Geometry of Materials Space with Trained Neural Tangent Kernels
Daniel Kaplan, Gabriel Kotliar, Anirvan M Sengupta
Neural networks trained to predict materials properties learn representations whose physical content can be difficult to extract. We use the neural tangent kernel (NTK), evaluated…
cond-mat.str-el2026
Interplay of spin-orbit coupling, crystal field splitting and correlations: a ghost rotationally invariant slave boson treatment
Xue Sun, Walber Hugo Brito, Andreas Gleis +4
We investigate the interplay of spin-orbit coupling, crystal field splittings, and electronic correlations in the Hubbard-Kanamori model within the recently formulated gho…