ANS is committed to advancing, fostering, and promoting the development and application of nuclear sciences and technologies to benefit society.
Explore the many uses for nuclear science and its impact on energy, the environment, healthcare, food, and more.
Explore membership for yourself or for your organization.
Conference Spotlight
2026 Nuclear Energy Conference & Expo (NECX)
August 24–27, 2026
Dallas, TX|Hilton Anatole
Latest Magazine Issues
Jun 2026
Jan 2026
2026
Latest Journal Issues
Nuclear Science and Engineering
July 2026
Nuclear Technology
June 2026
Fusion Science and Technology
May 2026
Latest News
DOE approves Xcimer’s laser fusion power plant design
The Department of Energy has approved Xcimer Energy's Athena fusion power plant preconceptual technical design. With this milestone achieved, the Denver, Colo.-based company is now moving forward with its plans to develop economical laser inertial confinement fusion using two beamlines, gas laser technology, and a molten salt fusion chamber.
The National Ignition Facility at Lawrence Livermore National Laboratory demonstrated net energy gain from inertial confinement fusion in 2022 using solid-state glass lasers and 192 beamlines.
Advances in Thermal Hydraulics (ATH 2024)
Technical Session
Tuesday, November 19, 2024|10:00–11:45AM EST|Coral C
Session Chair:
Subash Sharma (UML)
Alternate Chair:
Ethan Wong (Imperial College London)
To access paper attachments, you must be logged in and registered for the meeting.
Register NowLog In
Assessment of Physics-Informed Neural Networks (PINNs) with Transfer Learning (TL) for Incompressible Turbulent Flows
10:00–10:20AM EST
Y.H. Wong (Imperial College London), Y. Duan (Imperial College London), L. Lampunio (Imperial College London), M.D. Eaton (Imperial College London), M.J.Bluck (Imperial College London)
Paper
Prediction and Uncertainty Quantification of Critical Heat Flux -- A Comparison Between Generative Conditional VAEs and DNNs
10:20–10:40AM EST
Farah Alsafadi (NCSU), Aidan Furlong (NCSU), Xu Wu (NCSU)
Quantifying Model Uncertainty of Neural-Network Based Turbulence Closures
10:40–11:00AM EST
Cody Grogan (Utah State), Som Dutta (Utah State), Mauricio Tano (INL), Somayajulu L.N. Dhulipala (INL), Izabela Gutowska (Oregon State)