Ye Cao

Ye Cao

Associate Professor, Material Science and Engineering
Group: Research Staff
ye.cao@uta.edu

Biography

 

Dr. Ye Cao is an Associate Professor in the Departments of Materials Science and Engineering at University of Texas at Arlington (UTA). He is also a member of Institute of Predictive Performance Methodology (IPPM) at UTARI. Before joining UTA in 2017, he was a Postdoc Research Associate in the Center of Nanophase Materials Sciences at Oak Ridge National Laboratory. He obtained his B.S and M.S. in the Department of Materials Science and Engineering from Shanghai Jiao Tong University, and his Ph.D. in Materials Science and Engineering from the Pennsylvania State University. His research is in the field of multiscale simulations of materials, with a focus on mesoscale phase-field modeling, and machine learning aided materials discovery and design. His current research topics include charge transport in oxide-based resistive random-access memories, interfacial stability in Li metal batteries, and ferroelectric domain structure and switching in multi-functional ferroelectric oxides. He has authored/co-authored more than 60 publications in peer-reviewed journals, including Nature Materials, Nature Communications, and npj Computational Materials etc. His research projects have been sponsored by National Science Foundation and American Chemical Society, including the NSF CAREER award.

Read More About Ye Cao:

https://www.uta.edu/academics/faculty/profile?user=ye.cao

https://www.uta.edu/news/news-releases/2024/05/21/uta-engineer-aims-to-design-high-performance-memristors

Subject matter: Institute for Predictive Performance Methodologies