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Division Spotlight
Decommissioning & Environmental Sciences
The mission of the Decommissioning and Environmental Sciences (DES) Division is to promote the development and use of those skills and technologies associated with the use of nuclear energy and the optimal management and stewardship of the environment, sustainable development, decommissioning, remediation, reutilization, and long-term surveillance and maintenance of nuclear-related installations, and sites. The target audience for this effort is the membership of the Division, the Society, and the public at large.
Meeting Spotlight
International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C 2025)
April 27–30, 2025
Denver, CO|The Westin Denver 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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June 2025
Nuclear Technology
May 2025
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Latest News
Sam Altman steps down as Oklo board chair
Advanced nuclear company Oklo Inc. has new leadership for its board of directors as billionaire Sam Altman is stepping down from the position he has held since 2015. The move is meant to open new partnership opportunities with OpenAI, where Altman is CEO, and other artificial intelligence companies.
Technical Session
Wednesday, October 6, 2021|10:40AM–12:20PM EDT
Session Chair:
Zeyun Wu (Virginia Commonwealth Univ.)
Session Organizer:
Ryan G. McClarren (University of Notre Dame)
Student Producer:
Nilay Atul Kulkarni (NC State Univ.)
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On the Use of Machine Learning (Neural Networks) to Deepen Numerical Validation of Neutronic Calculations: Basics and Application to an APOLLO3-SFR Calculation Scheme
10:40–11:05AM EDT
J.-M. Palau (CEA/DES), G. Rimpault (CEA/DES)
Paper
Acceleration of Multi-Objective Optimisation Calculations for Nuclear Burnup Studies Using Intra-Optimisation Objective Expansion
11:05–11:30AM EDT
D.J. Brennan (Univ. of Cambridge), G. T. Parks (Univ. of Cambridge)
Application of Reinforcement Learning Optimisation Methodology to BWR Assemblies
11:30–11:55AM EDT
Majdi I. Radaideh (MIT), Benoit Forget (MIT), Koroush Shirvan (MIT)
Estimation of the Axial Neutron Flux Profiles in the SAFARI-1 Core Using Artificial Neural Networks
11:55AM–12:20PM EDT
L. E. Moloko (South African Nuclear Energy Corp.), P. M. Bokov (South African Nuclear Energy Corp.), K. N. Ivanov (NC State Univ.)
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