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
Standards Program
The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
Latest Magazine Issues
Jan 2026
Jul 2025
Latest Journal Issues
Nuclear Science and Engineering
January 2026
Nuclear Technology
December 2025
Fusion Science and Technology
November 2025
Latest News
New York takes two more steps toward nuclear
In 2025, New York Gov. Kathy Hochul was a vocal supporter of new nuclear development in the state. In October, she called on the New York Power Authority (NYPA)—the state’s public electric utility—to add 1 GW of new nuclear.
At the tail end of December, New York made more nuclear progress on three fronts. Hochul signed an agreement with Ontario Premier Doug Ford to collaborate on new nuclear development, Ontario Power Generation (OPG) signed a memorandum of understanding with the NYPA, and New York finalized its 2025 energy plan.
Technical Session|Sponsored by Mathematics & Computation
Saturday, April 16, 2022|8:00–9:30AM CDT|Honors Room
Sponsored by ANS Mathematics & Computation Division
To access paper attachments, you must be logged in and registered for the meeting.
Register NowLog In
Machine Learning Classification for Safety Analysis of Nuclear Research Reactor Experiments
Roberto Fairhurst Agosta (Univ. Illinois, Urbana-Champaign), Tomasz Kozlowski (Univ. Illinois, Urbana-Champaign)
Paper
Evaluation of HYPRE Preconditioners for Use in Solving CMFD-Accelerated Neutron Diffusion Problems
Thomas Jayasankar (Univ. Michigan), Qicang Shen (Univ. Michigan), Brendan M. Kochunas (Univ. Michigan)
Statistical Surrogate for High-Fidelity Turbulent Channel Flow
Molly Ross (Kansas State), Hitesh Bindra (Kansas State)
Modelling of Hydrogen Adsorption and Diffusion in Graphite Using a Genetic Algorithm
Lorenzo Vergari (Univ. California, Berkeley), Amit Bhat (Univ. California, Berkeley), Raluca O. Scarlat (Univ. California, Berkeley)
To join the conversation, you must be logged in and registered for the meeting.
