Deep Neural Operator Networks for Efficient Real-Time Inference of Neutron Flux in Nuclear Systems

Deep Neural Operator Networks (DeepONet) can efficiently and accurately predict the spatial distribution of neutron flux in nuclear systems, outperforming traditional machine learning methods and enabling real-time digital twin applications.