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Hanfeng Zhai
My general research interests lie in combining multiscale computational mechanics, computational materials science, scientific machine learning, and inverse optimization for structural and materials modeling and design, with potential impact on energy, biotechnology, and advanced manufacturing. My current work focuses on using data-driven methods for dislocation dynamics.
Education
MS, Mechanical Engineering, Cornell University
BS, Theoretical and Applied Mechanics, Shanghai University
Research
Multiscale Modeling
Computational Mechanics
Computational Materials Science
Scientific Machine Learning
Design Optimization