249 citations · 392 across the 11 of their papers we have counts for
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cond-mat.mtrl-sci2023★ 33 cited
Matbench Discovery -- A framework to evaluate machine learning crystal stability predictions
Janosh Riebesell, Rhys E. A. Goodall, Philipp Benner +7
The rapid adoption of machine learning (ML) in domain sciences necessitates best practices and standardized benchmarking for performance evaluation. We present Matbench Discovery,…
cond-mat.mtrl-sci2023★ 8 cited
Crystal Toolkit: A Web App Framework to Improve Usability and Accessibility of Materials Science Research Algorithms
Matthew Horton, Jimmy-Xuan Shen, Jordan Burns +21
Crystal Toolkit is an open source tool for viewing, analyzing and transforming crystal structures, molecules and other common forms of materials science data in an interactive way.…