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
Aug 2026
Jan 2026
2026
Latest Journal Issues
Nuclear Science and Engineering
October 2026
Nuclear Technology
September 2026
Fusion Science and Technology
August 2026
Latest News
Corpus Christi seaport latest to partner with MARAD on maritime reactors
The Department of Transportation’s Maritime Administration (MARAD) has signed its second memorandum of cooperation with a U.S. seaport to advance the development of small modular reactors to power commercial vessels, ports, and other maritime assets—this time, shifting its attention to the Gulf coast.
The MOC pairs the Port of Corpus Christi in Texas with MARAD to explore SMRs, microgrids, and advanced vessel propulsion systems for maritime applications. Last week, Secretary of Transportation Sean Duffy, MARAD Administrator Stephen Carmel, Port of Corpus Christi CEO Kent Britton, and Port of Corpus Christi Commission Chair Gabe Guerra signed the MOC at a ceremony.
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)