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
Technical Session|Mathematics and Computation (MCD)
Monday, June 1, 2026|3:15–5:00PM MDT|Director's Row E
Session Chair:
Kendra Long
Alternate Chair:
Majdi I. Radaideh (Univ. Michigan, Ann Arbor)
To access paper attachments, you must be logged in and registered for the meeting.
Register NowLog In
Machine Learning Weather Models for Nuclear Fallout Dispersion Prediction
3:15–3:35PM MDT
Jorden Gershenson
Paper
A Domain Decomposition Approach for 1-D Transport with Anisotropy using Physics-Informed Neural Networks
3:35–3:55PM MDT
Ravi S. Shastri (Univ. Michigan, Ann Arbor), Abraham Skoczylas, Patrick Myers (Univ. Michigan), Majdi I. Radaideh (Univ. Michigan, Ann Arbor), Brian C. Kiedrowski (Univ. Michigan)
Control Rod Worth Calibration using Gaussian Process Regression for the TRIGA Mk-II Reactor
3:55–4:15PM MDT
Jeongwon Seo (Univ. Texas, Austin), Sam Queralt (Univ. Texas, Austin), William S. Charlton (Univ. Texas, Austin), Kevin T. Clarno (Univ. Texas, Austin)
Machine Learning Applications to Predict Transmission Spectra of Molten Salts
4:15–4:35PM MDT
Aarin N. Henning (Georgia Tech), Mathew W. Swinney (ORNL)