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
Fusion energy: Progress, partnerships, and the path to deployment
Over the past decade, fusion energy has moved decisively from scientific aspiration toward a credible pathway to a new energy technology. Thanks to long-term federal support, we have significantly advanced our fundamental understanding of plasma physics—the behavior of the superheated gases at the heart of fusion devices. This knowledge will enable the creation and control of fusion fuel under conditions required for future power plants. Our progress is exemplified by breakthroughs at the National Ignition Facility and the Joint European Torus.
Technical Session
Tuesday, October 5, 2021|10:40AM–12:20PM EDT
Session Chair:
Joshua Hykes (Studsvik Scandpower)
Session Organizers:
Benoit Forget (MIT)
William Wieselquist (ORNL)
Student Producer:
Joe Coale (NC State Univ.)
To access the session recording, you must be logged in and registered for the meeting.
Register NowLog In
To access paper attachments, you must be logged in and registered for the meeting.
Physics-Informed Deep Learning Neural Network Solution to the Neutron Diffusion Model
10:40–11:05AM EDT
Mohamed H. Elhareef (Virginia Commonwealth Univ.), Zeyun Wu (Virginia Commonwealth Univ.), Yu Ma (Sun Yat-sen Univ.)
Paper
Improving Whole-Core Calculations by Bayesian Inference From Single-Assembly Measured Reactivity Weights
11:05–11:30AM EDT
P.-L. Alzieu (CEA), G. Truchet (CEA), J. Tommasi (CEA)
Investigation Into the Use of Machine Learning Assisted Prediction of Nodal Parameters for Reduced Order Neutronic Simulation Models
11:30–11:55AM EDT
Madhumitha Ravichandran (MIT), Cole A. Gentry (ORNL), Matteo Bucci (MIT)
Presentation Video (Visible to Attendees) — Presentation Video
Improved Rational Approximation for Spatially-Dependent Resonance Self-Shielding in CASMO5
11:55AM–12:20PM EDT
Rodolfo Ferrer (Studsvik Scandpower), Joshua Hykes (Studsvik Scandpower)
To join the conversation, you must be logged in and registered for the meeting.
