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Division Spotlight
Education, Training & Workforce Development
The Education, Training & Workforce Development Division provides communication among the academic, industrial, and governmental communities through the exchange of views and information on matters related to education, training and workforce development in nuclear and radiological science, engineering, and technology. Industry leaders, education and training professionals, and interested students work together through Society-sponsored meetings and publications, to enrich their professional development, to educate the general public, and to advance nuclear and radiological science and engineering.
Meeting Spotlight
2025 ANS Annual Conference
June 15–18, 2025
Chicago, IL|Chicago Marriott 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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Fusion Science and Technology
Latest News
Smarter waste strategies: Helping deliver on the promise of advanced nuclear
At COP28, held in Dubai in 2023, a clear consensus emerged: Nuclear energy must be a cornerstone of the global clean energy transition. With electricity demand projected to soar as we decarbonize not just power but also industry, transport, and heat, the case for new nuclear is compelling. More than 20 countries committed to tripling global nuclear capacity by 2050. In the United States alone, the Department of Energy forecasts that the country’s current nuclear capacity could more than triple, adding 200 GW of new nuclear to the existing 95 GW by mid-century.
Bin Liu, Huasi Hu, Tiankui Zhang, Xingyin Guan
Fusion Science and Technology | Volume 66 | Number 3 | November 2014 | Pages 405-413
Technical Paper | doi.org/10.13182/FST13-775
Articles are hosted by Taylor and Francis Online.
Parameters of fusion reaction history play an important role in inertial confinement fusion diagnosis. Two types of detectors, named gas Cherenkov detector (GCD) and gamma reaction history (GRH), have been well applied for measurement of fusion reaction history due to their fast responses and capacities for setting the threshold. This study was carried out in two stages. First, simulation of some components of the GRH system was carried out with Geant4. Second, an optimization method by combining a genetic algorithm with the Geant4 code was established and applied to the optical reflectors of the GRH system. The optimization process was focused on 16.7-MeV gamma rays with a threshold of 12 MeV. An optimal time response of 5 ps and an efficiency at the receiving surface of 2.2661×10−2 Cherenkov photons/incident 16.7-MeV gamma ray were obtained at 1.9158 atm of CO2 pressure and a temperature of 20°C.