MIT Assistant Professor Dean Price sees a bright future for nuclear power, and believes AI can help us realize that vision. AI and machine learning methods are good at finding patterns concealed within data, such as correlations between variables critical to the functioning of a nuclear plant.

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MIT Assistant Professor Dean Price is working to advance nuclear energy through AI and multiphysics modeling. His research focuses on applying machine learning to model interactions between neutronics and thermal hydraulics in reactor cores, particularly for small modular reactors (SMRs) and microreactors. AI could replace computationally expensive nonlinear differential equation solvers, enabling faster reactor design and safer, more economical operation. Price sees AI as augmenting established nuclear safety frameworks rather than replacing them, and aims to train the next generation of nuclear engineers at MIT.

Working to advance the nuclear renaissance