ANS is committed to advancing, fostering, and promoting the development and application of nuclear sciences and technologies to benefit society.
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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.
Materials in Nuclear Energy Systems (MiNES 2023)
December 10–14, 2023
New Orleans, LA|New Orleans Marriott
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Illinois lifts ban on some new nuclear construction
Illinois Gov. J. B. Pritzker returned to the good graces of the nuclear community last Friday, signing H.B. 2473, a bill that partially lifts the state’s decades-long moratorium on new nuclear power builds by permitting the construction of small modular reactors.
Pritzker had vetoed similar legislation, S.B. 76, in August, saying in a veto message that the bill included an overly broad definition of “advanced reactors,” which would “open the door to the proliferation of large-scale nuclear reactors that are so costly to build that they will cause exorbitant ratepayer-funded bailouts.” Pritzker had also asserted that S.B. 76 lacked “regulatory protections or updates to address the health and safety of Illinois residents who would live and work around these new reactors.”
Wednesday, October 6, 2021|10:40AM–12:20PM EDT
Zeyun Wu (Virginia Commonwealth Univ.)
Ryan G. McClarren (University of Notre Dame)
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
J.-M. Palau (CEA/DES), G. Rimpault (CEA/DES)
Acceleration of Multi-Objective Optimisation Calculations for Nuclear Burnup Studies Using Intra-Optimisation Objective Expansion
D.J. Brennan (Univ. of Cambridge), G. T. Parks (Univ. of Cambridge)
Application of Reinforcement Learning Optimisation Methodology to BWR Assemblies
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
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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