176 citations · 1.3k across the 25 of their papers we have counts for
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cond-mat.mtrl-sci2020★ 5 cited
Particle Swarm Based Hyper-Parameter Optimization for Machine Learned Interatomic Potentials
Suresh Kondati Natarajan, Miguel A. Caro
Modeling non-empirical and highly flexible interatomic potential energy surfaces (PES) using machine learning (ML) approaches is becoming popular in molecular and materials researc…
cond-mat.mtrl-sci2020★ 84 cited
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…