Event
MSE Seminar: Dr. Corey Oses, JHU
Wednesday, March 25, 2026
3:30 p.m.
Room 2110 Chemical and Nuclear Engineering Building
Sherri Tatum
301-405-5240
statum12@umd.edu
"Powering Tomorrow with AI-Driven High-Entropy Design"
Abstract: Addressing future energy demands will require materials designed to embrace chemical complexity. AI-driven discovery is helping accelerate that search across catalysis and nuclear waste immobilization. By linking machine learning, computation, synthesis, and characterization in a closed discovery loop, modeling and experiment continuously refine one another while guiding exploration through vast chemical spaces. This approach has identified promising platinum-free high-entropy catalyst candidates and led to the discovery of a new waste form for iodine immobilization with encouraging early performance. Together, these results show how data-driven design can turn disorder from a persistent challenge into a useful principle for complex materials discovery.
Biography: Corey Oses, an assistant professor of materials science and engineering at Johns Hopkins University, leads the Entropy for Energy laboratory focusing on the discovery of materials for clean and renewable energy. Specifically, Oses looks to leverage the stabilizing effects of disorder to innovate clean hydrogen production, waste-heat conversion, and electric grid technologies. He completed his bachelor’s degree in applied and engineering physics from Cornell University in 2013 and his PhD in materials science from Duke University in 2018. More information can be found at entropy4energy.ai.
