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Wei Cai is a Professor in the Department of Mechanical Engineering at Stanford University and holds a courtesy appointment in the Department of Materials Science Engineering. His research focuses on predicting mechanical strength materials through theory, simulations, and the study of defects in microstructures across atomic, mesoscopic, and continuum scales. He is actively developing new atomistic simulation methods to address long time-scale processes including crystal growth and self-assembly. Cai applies machine learning techniques to materials research, models experiments related to metallurgical processes, and investigates microstructure-property relationships in materials used for applications such as stretchable electronics, carbon nanotube networks, and semiconducting elastomers. He has received numerous awards such as the Presidential Early Career Award and the National Science Foundation Career Award, recognizing his contributions to the field. He is also a member of various editorial boards and professional organizations in materials science and engineering.
Stanford University • Stanford, California
Professor in the Department of Mechanical Engineering and courtesy appointment in the Department of Materials Science Engineering.
The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.