8 citations · 8 across the 1 of their papers we have counts for
2 papers
cond-mat.mtrl-sci2026
Machine Learning for Electrode Materials: Property Prediction via Composition
Hao Wu, Cameron Hargreaves, Arpit Mishra +1
In this work, we benchmark three leading composition based Machine Learning (ML) frameworks, MODNet, CrabNet, and a random forest model based on Magpie features, predicting the pro…
cond-mat.mtrl-sci2024★ 8 cited
Optical materials discovery and design with federated databases and machine learning
Victor Trinquet, Matthew L. Evans, Cameron J. Hargreaves +2
Combinatorial and guided screening of materials space with density-functional theory and related approaches has provided a wealth of hypothetical inorganic materials, which are inc…