ANS is committed to advancing, fostering, and promoting the development and application of nuclear sciences and technologies to benefit society.
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Division Spotlight
Isotopes & Radiation
Members are devoted to applying nuclear science and engineering technologies involving isotopes, radiation applications, and associated equipment in scientific research, development, and industrial processes. Their interests lie primarily in education, industrial uses, biology, medicine, and health physics. Division committees include Analytical Applications of Isotopes and Radiation, Biology and Medicine, Radiation Applications, Radiation Sources and Detection, and Thermal Power Sources.
Meeting Spotlight
2025 ANS Annual Conference
June 15–18, 2025
Chicago, IL|Chicago Marriott Downtown
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!
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May 2025
Jan 2025
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Nuclear Science and Engineering
June 2025
Nuclear Technology
Fusion Science and Technology
Latest News
NRC dockets construction permit for Dow, X-energy SMR
The Nuclear Regulatory Commission has accepted Dow’s construction permit application to build an X-energy small modular reactor in Seadrift, Texas.
Technical Session|Sponsored by RPD
Thursday, November 19, 2020|12:15–2:00PM EST
Session Chair:
Jason Hearne (Texas A&M Univ.)
Alternate Chair:
Massimiliano Fratoni
Session Organizer:
Pavel V. Tsvetkov
Staff Producer:
Pat Schroeder (American Nuclear Society)
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Verification of the Re-Released ENDF/B VIII.0 Based Thermal Scattering Libraries
Donald K. Parsons (Los Alamos)
Paper
Neutron Capture on Stable Fission Product 139La Contribution to Delayed-Photoneutrons in Heavy Water Reactors
Yanuar A. Setiawan (Ulsan National Institute of Science & Technology), Douglas A. Fynan (Ulsan Nat'l Institute of Science and Technology)
Application of Machine Learning to Nuclear Data Evaluation
Pedro J. Vicente-Valdez (University of California Berkeley), Lee A. Bernstein (University of California Berkeley), Massimiliano Fratoni (University of California Berkeley)
Improving Resonance Integral Table Based Cross Section Methods Using Lasso Regression
Yuxuan Liu (University of Michigan), Brendan M. Kochunas (University of Michigan)
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