Digital Twin Technology | Machine Learning | Nuclear Engineering Deep neural operator-driven real-time inference to enable digital twin solutions for nuclear energy systems. January 24, 2024
Materials Science | Nuclear Engineering A fine pore-preserved deep neural network for porosity analytics of a high burnup U-10Zr metallic fuel. December 14, 2023
Materials Science | Nuclear Engineering An efficient instance segmentation approach for studying fission gas bubbles in irradiated metallic nuclear fuel. December 14, 2023
Nuclear Engineering | Reactor Physics Physics-informed neural network with transfer learning (TL-PINN) based on domain similarity measure for prediction of nuclear reactor transients. October 6, 2023
Nuclear Engineering Neutron transport calculation for the BEAVRS core based on the LSTM neural network. September 6, 2023
Nuclear Engineering | Radiology | Structural Health Monitoring Ultrasonic tomography imaging enhancement approach based on deep convolutional neural networks. June 26, 2023
Materials Science | Nuclear Engineering Materials swelling revealed through automated semantic segmentation of cavities in electron microscopy images. March 30, 2023
Artificial Intelligence | Energy | Nuclear Engineering A review of the application of artificial intelligence to nuclear reactors: Where we are and what’s next. March 10, 2023
Materials Science | Nuclear Engineering DefectTrack: a deep learning-based multi-object tracking algorithm for quantitative defect analysis of in-situ TEM videos in real-time. September 20, 2022
Materials Science | Nuclear Engineering Prediction of grain structure after thermomechanical processing of U-10Mo alloy using sensitivity analysis and machine learning surrogate model. July 16, 2022
Deep Learning | Nuclear Engineering Localizing Perturbations in Pressurized Water Reactors Using One-Dimensional Deep Convolutional Neural Networks. January 11, 2022
Materials Science | Nuclear Engineering | Thermal Energy Thermodynamic and Transport Properties of LiF and FLiBe Molten Salts with Deep Learning Potentials. November 12, 2021