Artificial Intelligence to Assess the Stability of Rare-Eart

Artificial intelligence is improving the way scientists investigate materials. A machine-learning (ML) model was trained by researchers from Ames Laboratory and Texas A&M University to assess the stability of rare-earth compounds.

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Texas , United States , Yaroslav Mudryk , Raymundo Arroyave , Guillermo Vazquez , Prashant Singh , Acta Materialia , Texasam University , Ames Laboratory , Laboratory Directed Research , Development Program , Ames Laboratory Rare Earth , Iowa State University , Artificial Intelligence Model , Edel Rose , Project Supervisor ,