Shuozhi Xu is an Assistant Professor and PI of the Computational Materials, Mechanics, and Manufacturing (CM3) Lab at the University of Oklahoma, with nine years of research experience bridging multiscale physics and data-driven methods to guide design and manufacture of structural and functional materials. His work spans atomistic-to-continuum simulations and machine learning, applying multi-physics models to problems in plasticity and materials performance. Trained with a PhD in Mechanical Engineering and MS degrees in Computational Science and Solid Mechanics, he has held postdoctoral and fellowship appointments at UC Santa Barbara and Georgia Tech, where he advanced concurrent atomistic-continuum techniques. Shuozhi combines deep theoretical modeling with practical manufacturing insight, and his lab emphasizes scalable simulation workflows that accelerate materials discovery beyond conventional trial-and-error.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS, Thermal Energy and Power Engineering, Bachelor of Science - BS, Thermal Energy and Power Engineering at Beihang University
Master of Science (M.Sc.), Computational Science and Engineering, Master of Science (M.Sc.), Computational Science and Engineering at Georgia Institute of Technology
Master of Science - MS, Solid Mechanics, Master of Science - MS, Solid Mechanics at China Academy of Engineering Physics
Contributions:654 pushes, 1 branch in 4 years 9 months
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