Shuozhi Xu

Shuozhi Xu is an Assistant Professor in the School of Aerospace and Mechanical Engineering at the University of Oklahoma. He holds a Ph.D. in Mechanical Engineering from Georgia Institute of Technology (2016), with additional master's degrees in Computational Science and Engineering (Georgia Tech, 2015) and Solid Mechanics (China Academy of Engineering Physics, 2011). His research focuses on advancing multi-physics and data-driven methods for materials modeling, with applications in additive manufacturing and complex materials. He has held postdoctoral positions at UC Santa Barbara and Georgia Tech, and his work has been recognized through awards including the Elings Prize Fellowship and Sigma Xi Best Thesis Award.

• Education:
• Ph.D., Mechanical Engineering, Georgia Tech (2016)
• M.S., Computational Science and Engineering, Georgia Tech (2015)
• M.S., Solid Mechanics, China Academy of Engineering Physics (2011)
• B.S., Thermal Energy and Power Engineering, Beihang University (2008)

His research interests span computational materials science, dislocation dynamics, and machine learning-driven materials design. Recent work includes studies on nanolaminates, refractory alloys, and generative AI for materials modeling. He has authored over 50 peer-reviewed articles and serves as a lecturer for courses in computational materials science and solid mechanics. His lab, the Computational Materials, Mechanics, and Manufacturing (CM³) Lab, emphasizes interdisciplinary approaches to materials innovation.

• Awards:
• Finalist, Rising Stars in Computational Materials Science (2022)
• TMS Light Metals Division Best Poster Award (2020)
• Elings Prize Fellowship (2017)
• Sigma Xi Best Thesis Award (2017)

Dr. Xu advises multiple doctoral and master’s students and collaborates on grants funded by the University of Oklahoma and external agencies. His lab’s current projects include AI-driven design of materials for extreme environments and physics-based models for additive manufacturing processes.