most citedMachine Learning Materials Properties with Accurate Predictions, Uncertainty Estimates, Domain Guidance, and Persistent Online Accessibility

3 citations · 3 across the 1 of their papers we have counts for

collaborators

1 paper

cond-mat.mtrl-sci2024★ 3 cited

Machine Learning Materials Properties with Accurate Predictions, Uncertainty Estimates, Domain Guidance, and Persistent Online Accessibility

Ryan Jacobs, Lane E. Schultz, Aristana Scourtas +7

One compelling vision of the future of materials discovery and design involves the use of machine learning (ML) models to predict materials properties and then rapidly find materia…