CMI Project 4.1.12: Machine learning materials design

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Fei Zhou at Lawrence Livermore National Laboratory leads the CMI project "Machine learning materials design"

Project Description: To design and develop advanced alloy materials through computational modeling and analysis enabled by machine learning (ML) algorithms and tools. In particular, ML tools will be developed and applied to accelerate the optimization of thermomechnical properties of Ce-Al alloys, a break-through technology with important impact on the US supply chain for rare earth. ML models will be trained on large amount of experimental and first-principles data in order to make computational suggestions regarding additional dopants and new compositions for Ce-Al alloys with improved mechanical properties and reduced manufacturing cost.