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
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
Studsvik applies to build more reactors; Sweden seeks majority control of SMR company
New developments in Sweden’s nuclear energy industry continue to make headlines. Last week, Swedish engineering services firm Studsvik submitted an application to build between 600 MWe and 1,400 MWe of new nuclear power capacity “at and around” its Nyköping Municipality headquarters. Separately, the Swedish government is looking to acquire a majority ownership stake in Videberg Kraft AB.
Technical Session|Machine Learning and Artificial Intelligence
Tuesday, April 29, 2025|1:00–2:40PM MDT|Horace Tabor
Session Chair:
Majdi Radaideh (Univ. Michigan)
Alternate Chair:
Dean Price (INL)
To access paper attachments, you must be logged in and registered for the meeting.
Register NowLog In
Deep Operator Network Based Surrogate Model for Neutron Transport Computation
1:00–1:25PM MDT
Md Hossain Sahadath (Rensselaer Polytechnic Institute), Qiyun Cheng (Rensselaer Polytechnic Institute), Shaowu Pan (Rensselaer Polytechnic Institute), Wei Ji (Rensselaer Polytechnic Institute)
Paper
A CNN-Based Physics-Informed Neural Networks for Solving the Neutron Diffusion Equation
1:25–1:50PM MDT
Jaeguk Lee (Seoul Nat'l Univ.), Hyung Jin Shim (Seoul Nat'l Univ.)
Use of Bayesian Polynomial Regression Methods to Model Uncertainty in Few-Group Cross-Section Libraries
1:50–2:15PM MDT
Yi Meng Chan (Royal Institute of Technology), Jan Dufek (Royal Institute of Technology)
Machine Learning Algorithms for Neutron and Gamma Radiation Discrimination
2:15–2:40PM MDT
Abigail Artman (U.S. Naval Academy), Jennie Hill (U.S. Naval Academy), Joseph Latta (U.S. Naval Academy), Hatem ElBidweihy (U.S. Naval Academy)