Data-driven Discovery of Optimized Multifunctional Material Systems
Mar 18
Daniel is a doctoral student working in the Center for Data-Driven Design of Multifunctional Material Systems on research associated with characterizing and predicting rare events in materials systems.
Jan 29
By leveraging expertise in materials and artificial intelligence from across departments, researchers from Carnegie Mellon are exploring solutions to the challenges facing materials discovery.
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