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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.mtrl-sci2024★ 1 cited
Real-Space Imaging of the Band Topology of Transition Metal Dichalcogenides
Madisen Holbrook, Julian Ingham, Daniel Kaplan +11
The topological properties of Bloch bands are intimately tied to the structure of their electronic wavefunctions within the unit cell of a crystal. Here, we show that scanning tunn…