99 citations · 105 across the 2 of their papers we have counts for
2 papers
cond-mat.mtrl-sci2025★ 6 cited
Efficient dataset generation for machine learning perovskite alloys
Henrietta Homm, Jarno Laakso, Patrick Rinke
Lead-based perovskite solar cells have reached high efficiencies, but toxicity and lack of stability hinder their wide-scale adoption. These issues have been partially addressed th…
cond-mat.mtrl-sci2023★ 99 cited
Updates to the DScribe Library: New Descriptors and Derivatives
Jarno Laakso, Lauri Himanen, Henrietta Homm +4
We present an update of the DScribe package, a Python library for atomistic descriptors. The update extends DScribe's descriptor selection with the Valle-Oganov materials fingerpri…