most citedAccurate computational prediction of core-electron binding energies in carbon-based materials: A machine-learning model combining density-functional theory and

69 citations · 69 across the 1 of their papers we have counts for

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cond-mat.mtrl-sci2021★ 69 cited

Accurate computational prediction of core-electron binding energies in carbon-based materials: A machine-learning model combining density-functional theory and

Dorothea Golze, Markus Hirvensalo, Patricia Hernández-León +6

We present a quantitatively accurate machine-learning (ML) model for the computational prediction of core-electron binding energies, from which x-ray photoelectron spectroscopy (XP…