Model Based Design and Optimization for Hybrid Materials and Interfaces | AIChE

Model Based Design and Optimization for Hybrid Materials and Interfaces

Chair(s)

Chang, J., UCLA

Co-chair(s)

Willis, B., University of Connecticut

Machine learning and chemistry-based models are investigated to design and optimize hybrid materials and interfaces for various applications including energy harvesting, membrane separations, and chemical property prediction.

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