Yong-Jie Hu, PhD will join the department in January 2021 as Assistant Professor.
Hu is currently a postdoctoral research fellow at the department of materials science engineering at University of Michigan. He earned his PhD in Materials Science and Engineering from Pennsylvania State University, where he also served as a postdoctoral researcher prior to his position at the University of Michigan. He received an MS in materials science from Tohoku University, Japan and a BE from Tsinghua University, China. He is a recipient of the STT Scholarship from Foundation of Computational Thermodynamics and the Japanese Government Scholarship.
Hu’s research interests are in computational materials science, with emphasis on modeling of mechanical, thermodynamic, and electronic properties of materials for structural and functional applications. Through integrating multiscale simulations and machine learning, his research group at Drexel will aim to develop new theories, approaches, and databases to build more quantitative insights into the composition-structure-property relationships for the design and manufacturing of new materials.
A recent research work by Dr. Yong-Jie Hu, in which DFT calculations were combined with machine learning techniques to design high entropy alloys. With the developed model, one can easily screen over 110,000 different alloy compositions in a few minutes to search for the new candidates that potentially have higher strength and better ductility than the known alloys.