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 ANS Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
Latest Magazine Issues
Feb 2026
Jul 2025
Latest Journal Issues
Nuclear Science and Engineering
March 2026
Nuclear Technology
February 2026
Fusion Science and Technology
January 2026
Latest News
INL researchers use LEDs to shed light on next-gen reactors
At Idaho National Laboratory, researchers have built a bridge between computer models and the lab’s Microreactor Applications Research Validation and Evaluation (MARVEL) microreactor.
Tony Crawford, an INL researcher and MARVEL’s reactivity control system lead, designed a phone booth–sized surrogate nuclear reactor called ViBRANT, or Visual Benign Reactor as Analog for Nuclear Testing, which uses light instead of neutrons to show a “nuclear” reaction.
Technical Session
Tuesday, May 17, 2022|3:30–5:15PM EDT|Pointview
Session Chair:
Benoit Forget (MIT)
Session Organizer:
Alternate Chair:
Benjamin S. Collins (U. of Texas)
To access paper attachments, you must be logged in and registered for the meeting.
Register NowLog In
Optimization of the Deep Neural Network Parameters for Generating Homogenized Fuel Assembly Data for Nodal Codes
Korawit Saeju (Ulsan Nat'l Institute of Science and Technology), Siarhei Dzianisau (Ulsan Nat'l Institute of Science and Technology), Muhammad Farid Khandaq (Ulsan Nat'l Institute of Science and Technology), Deokjung Lee (Ulsan Nat'l Institute of Science and Technology)
Paper
Genetic Algorithm-Based Optimisation of the Few-Group Structure for Lead Fast Reactors Analysis
M. Massone (Karlsruher Institut for Technologie), N. Abrate (Politecnico di Torino), G.F. Nallo (Politecnico di Torino), S. Dulla (Politecnico di Torino), P. Ravetto (Politecnico di Torino), D. Valerio (Politecnico di Torino)
Quantification of Neural Networks Uncertainties with Applications to SAFARI-1 Axial Neutron Flux Profiles
Lesego E. Moloko (South African Nuclear Energy Corp.), Pavel M. Bokov (South African Nuclear Energy Corp.), Xu Wu (NCSU), Kostadin N. Ivanov (NCSU)
To join the conversation, you must be logged in and registered for the meeting.