Abstract
Materials degradation under extreme environments poses significant challenges to the sustainability of critical properties, including thermo-physical, electrical, and mechanical performance. In nuclear systems, where materials are exposed to radiation, high temperatures, and/or corrosive media, understanding the underlying mechanisms of this degradation is critical for enhancing material performance. However, experimental approaches in nuclear materials research are often limited by high costs, time constraints, and safety concerns.
To address these challenges, computational methods offer a useful alternative for understanding and predicting material behavior under these harsh conditions. This talk will demonstrate how advanced atomistic modeling techniques can be leveraged to investigate key issues in nuclear materials, including molten salt corrosion of structural materials and radiation effects in wide bandgap semiconductors.
Bio
Miaomiao (Mia) Jin, Ph.D.
Assistant Professor
Pennsylvania State University
Dr. Mia Jin has been an Assistant Professor in the Department of Nuclear Engineering at Penn State University since 2021. She earned her Ph.D. in Nuclear Science and Engineering from the Massachusetts Institute of Technology in 2019. Following her doctoral studies, she completed a postdoctoral appointment at Idaho National Laboratory in 2020. In 2024, Dr. Jin was awarded the NSF CAREER award. Her research centers on computational materials science with a focus on nuclear applications, including radiation effects, molten salt corrosion, and hydrogen embrittlement.