most citedFast and flexible long-range models for atomistic machine learning

23 citations · 32 across the 3 of their papers we have counts for

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cond-mat.mtrl-sci2024★ 9 cited

Adaptive energy reference for machine-learning models of the electronic density of states

Wei Bin How, Sanggyu Chong, Federico Grasselli +2

The electronic density of states (DOS) provides information regarding the distribution of electronic energy levels in a material, and can be used to approximate its optical and ele…