Deep Learning for Radiation Shielding Design

Nuclear Science › AI Nuclear Reactor Design Research

Deep Learning for Radiation Shielding Design

Interns will use convolutional neural networks and physics-informed neural networks to predict radiation dose distributions and optimize shielding material configurations around reactor vessels. The research will involve training models on MCNP simulation data and validating against experimental benchmarks.

Choose your preferences above

Select Type, Mode and Duration to view available internship titles and fees.