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
Fuel Cycle & Waste Management
Devoted to all aspects of the nuclear fuel cycle including waste management, worldwide. Division specific areas of interest and involvement include uranium conversion and enrichment; fuel fabrication, management (in-core and ex-core) and recycle; transportation; safeguards; high-level, low-level and mixed waste management and disposal; public policy and program management; decontamination and decommissioning environmental restoration; and excess weapons materials disposition.
Meeting Spotlight
2021 ANS Winter Meeting and Technology Expo
November 30–December 3, 2021
Washington, DC|Washington Hilton
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
Sep 2021
Jul 2021
Latest Journal Issues
Nuclear Science and Engineering
October 2021
Nuclear Technology
Fusion Science and Technology
August 2021
Latest News
Effort to overturn Montana’s pronuclear law advances
A Montana citizens group received the go-ahead this week to collect signatures for a ballot initiative that could wind up repealing a recently enacted law that allows the state legislature to okay the construction of nuclear power facilities without direct input from the public.
Technical Session
Saturday, April 10, 2021|3:30–4:15PM (4:30–5:15PM EDT)|Room 5
Session Chair:
Grayson Gall (NC State Univ.)
Alternate Chair:
Ishita Trivedi
Session Organizer:
Edward Chen (NC State Univ.)
Track Organizer:
Session Producer:
Alp Tezbasaran (NC State Univ.)
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A PDE-informed Neural Network for a Closure Model without Physics Separation
Arsen S. Iskhakov (North Carolina State University), Nam T. Dinh (North Carolina State University)
Summary
Application of LatticeNet Deep Learning Architecture on Neutronics Predictions Using OpenMC
Aidan J. Furlong (University of Florida), Forrest W. Shriver (University of Florida), Justin K. Watson (University of Florida)
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