Ericmoore Jossou

Ericmoore Jossou is an Assistant Professor in the Electrical Engineering and Computer Science (EECS) department at the Massachusetts Institute of Technology (MIT), with a shared appointment in Nuclear Science and Engineering. He holds the John Clark Hardwick (1986) Career Development Professor title. His research focuses on Artificial Intelligence + Machine Learning. Jossou's work includes developing methods to monitor corrosion and cracking in nuclear reactors, as well as optimizing nuclear fuels for next-generation reactors. His profile page provides additional details on his research and academic activities.

Ericmoore Jossou is a researcher in Materials Science with a focus on Radiation effects. His work explores the thermal, electronic, and mechanical properties of nuclear fuels and materials under irradiation. He investigates the behavior of uranium-based compounds, such as U3Si2 and UO2, and their interactions with radiation. His research also includes the development of advanced materials for nuclear applications, including accident-tolerant fuels and high-entropy alloys. Jossou employs a combination of experimental and computational methods, such as density functional theory (DFT) and first-principles calculations, to analyze material properties and predict performance under extreme conditions. His studies contribute to the design of safer and more efficient nuclear fuels and materials.