Litcius/Paper detail

Machine learning for materials science: Barriers to broader adoption

Brad Boyce, Rémi Dingreville, Saaketh Desai, Elise Walker, Troy Shilt, Kimberly L. Bassett, Ryan R. Wixom, Aaron P. Stebner, Raymundo Arróyave, Jason Hattrick‐Simpers, James A. Warren

2023Matter24 citationsDOIOpen Access PDF

Topics & Concepts

Data scienceEngineering ethicsComputer scienceNanotechnologyEngineeringMaterials scienceMachine Learning in Materials ScienceScientific Computing and Data ManagementElectron and X-Ray Spectroscopy Techniques
Machine learning for materials science: Barriers to broader adoption | Litcius