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R&D 100 Winners for 2023 are announced: CMI magnet process wins R&D 100 Award
R&D 100 Winners for 2023 are announced: CMI magnet technology wins R&D 100 Award
R&D 100 Winners for 2023 are announced
CMI recycling technology wins R&D 100 Award
CMI recycling technology wins R&D 100 Award
The Newsletter for Ames National Laboratory Employees
The study predicts the effects of diffusion limitations on co-reactant transport to the catalyst and on chain egress after scission.
A team of scientists from Ames National Laboratory developed a new machine learning model for discovering critical-element-free permanent magnet materials. The model predicts the Curie temperature of new material combinations.
Ames National Laboratory researchers with Critical Materials Institute used artificial intelligence to develop novel magnetic materials without critical elements
Meet one of the current or past CMI student researchers
Meet one of the current or past CMI student researchers