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Nuclear Energy Conference & Expo (NECX)
September 8–11, 2025
Atlanta, GA|Atlanta Marriott Marquis
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Hash Hashemian: Visionary leadership
As Dr. Hashem M. “Hash” Hashemian prepares to step into his term as President of the American Nuclear Society, he is clear that he wants to make the most of this unique moment.
A groundswell in public approval of nuclear is finding a home in growing governmental support that is backed by a tailwind of technological innovation. “Now is a good time to be in nuclear,” Hashemian said, as he explained the criticality of this moment and what he hoped to accomplish as president.
Akio Yamamoto, Hiroshi Hashimoto
Nuclear Science and Engineering | Volume 136 | Number 2 | October 2000 | Pages 247-257
Technical Paper | doi.org/10.13182/NSE00-A2155
Articles are hosted by Taylor and Francis Online.
Temperature parallel simulated annealing (TPSA) was applied to in-core fuel management optimizations, and the optimization performance was evaluated by comparing TPSA with traditional simulated annealing (SA). The TPSA method is an optimization algorithm that is based on SA, but has several distinguishing features: an automatic temperature annealing schedule, time homogeneity, and a significant affinity with parallel execution. The calculation results of a test problem revealed that TPSA was superior to traditional SA in terms of detailed loading pattern optimizations. The reason for this is that the TPSA temperature annealing schedule can effectively avoid local optima by repeating a cooling and heating cycle automatically.