Vladimir Sobes has been working on ways to use artificial intelligence/machine learning to produce faster and more reliable evaluation of nuclear data.

With backing from the US Department of Energy, five NE faculty will be pursuing innovative projects to improve nuclear power plant design and operation.

Dept. Head Wes Hines, Associate Professor Jamie Coble, and Assistant Professor Vlad Sobes receive support for their research from the US Department of Energy.

In a major breakthrough, Assistant Professor Vladimir Sobes demonstrated a new formula to better predict the probability of fission.

A team of faculty and graduate students applied a multi-objective genetic algorithm to the design of the Fast Neutron Source for spectrum matching and flux maximization.

The Department of Nuclear Engineering received a grant of $450,000 from the Nuclear Regulatory Commission for faculty development.

The department is part of the Nuclear Science and Security Consortium, an 11-member university consortium grant for research and development into nuclear science, engineering, and security.

Assistant Professor Vlad Sobes has received the Early Career Reactor Physicist Award from the American Nuclear Society (ANS). This award […]

The Department of Nuclear Engineering welcomes Vladimir Sobes to the faculty as an assistant professor. Sobes joins UT after six […]