Nuclear security and policy
Nuclear security and policy

Nuclear security and policy

Algorithms Artificial Intelligence Civil and environmental engineering Computer modeling Department of Energy (DoE) Energy Graduate, postdoctoral Nuclear power and reactors Nuclear science and engineering Nuclear security and policy Profile School of Engineering Students

Working to eliminate barriers to adopting nuclear energy

Nuclear waste continues to be a bottleneck in the widespread use of nuclear energy, so doctoral student Dauren Sarsenbayev is developing models to address the problem.

Artificial Intelligence Computer modeling Energy machine learning Nuclear power and reactors Nuclear science and engineering Nuclear security and policy Research School of Engineering

Model predicts long-term effects of nuclear waste on underground disposal systems

The simulations matched results from an underground lab experiment in Switzerland, suggesting modeling could be used to validate the safety of nuclear disposal sites.