output
20232026
most citedProbing out-of-distribution generalization in machine learning for materials

63 citations

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Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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cond-mat.mtrl-sci2023★ 23 cited

Reproducibility in Computational Materials Science: Lessons from 'A General-Purpose Machine Learning Framework for Predicting Properties of Inorganic Materials'

Daniel Persaud, Logan Ward, Jason Hattrick-Simpers

The integration of machine learning techniques in materials discovery has become prominent in materials science research and has been accompanied by an increasing trend towards ope…