ANS is committed to advancing, fostering, and promoting the development and application of nuclear sciences and technologies to benefit society.
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The division's objectives are to promote the advancement of knowledge and understanding of the fundamental physical phenomena characterizing nuclear reactors and other nuclear systems. The division encourages research and disseminates information through meetings and publications. Areas of technical interest include nuclear data, particle interactions and transport, reactor and nuclear systems analysis, methods, design, validation and operating experience and standards. The Wigner Award heads the awards program.
2022 ANS Winter Meeting and Technology Expo
November 13–17, 2022
Phoenix, AZ|Arizona Grand Resort
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Fusion Science and Technology
OPG, Microsoft to work toward net-zero future for Ontario
Ontario Power Generation and Microsoft Canada have formed a partnership aimed at combatting climate change and driving sustainable growth across the province of Ontario, the Canadian utility announced this week.
Under the partnership, Microsoft will procure clean energy credits (CECs) sourced from OPG’s nuclear and hydro assets in Ontario on an hourly basis. (OPG’s nuclear assets include the four-unit Darlington plant and six-unit Pickering facility.) According to the announcement, this will enable Microsoft to advance toward its 100/100/0 by 2030 goal, which commits the software firm to powering its data centers globally with zero-carbon energy, 24/7.
Thursday, May 19, 2022|8:00–9:45AM EDT|Ellwood
Nathan J. Roskoff
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Speed Up of Partial Current Tallies in SERPENT
Oscar Lastres (Purdue), Yunlin Xu (Purdue)
Toward Portable GPU Acceleration of the OpenMC Monte Carlo Particle Transport Code
John R. Tramm (ANL), Paul K. Romano (ANL), Johannes Doerfert (ANL), Amanda L. Lund (ANL), Patrick C. Shriwise (ANL), Andrew R. Siegel (ANL), Gavin Ridley (MIT), Andrew Pastrello (Univ. New South Wales)
Development of an Optimum Detector Position Search Method for Pulsed-Neutron-Source Alpha Measurement Using Time-Dependent Monte Carlo Simulation
S. H. Jang (Seoul Nat'l Univ.), H. J. Shim (Seoul Nat'l Univ.)
Performance of Population Control Techniques in Monte Carlo Reactor Criticality Simulation
Ilham Variansyah (Univ. Notre Dame), Ryan G. McClarren (Univ. Notre Dame)
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