176 citations · 329 across the 3 of their papers we have counts for
3 papers
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…
Machine learning driven simulated deposition of carbon films: from low-density to diamondlike amorphous carbon
Miguel A. Caro, Gábor Csányi, Tomi Laurila +1
Amorphous carbon (a-C) materials have diverse interesting and useful properties, but the understanding of their atomic-scale structures is still incomplete. Here, we report on exte…
Growth Mechanism and Origin of High Content in Tetrahedral Amorphous Carbon
Miguel A. Caro, Volker L. Deringer, Jari Koskinen +2
We study the deposition of tetrahedral amorphous carbon (ta-C) films from molecular dynamics simulations based on a machine-learned interatomic potential trained from density-funct…