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Fusion Energy
This division promotes the development and timely introduction of fusion energy as a sustainable energy source with favorable economic, environmental, and safety attributes. The division cooperates with other organizations on common issues of multidisciplinary fusion science and technology, conducts professional meetings, and disseminates technical information in support of these goals. Members focus on the assessment and resolution of critical developmental issues for practical fusion energy applications.
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ANS Student Conference 2025
April 3–5, 2025
Albuquerque, NM|The University of New Mexico
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NEA panel on AI hosted at World Governments Summit
A panel on the potential of artificial intelligence to accelerate small modular reactors was held at the World Governments Summit (WGS) in February in Dubai, United Arab Emirates. The OECD Nuclear Energy Agency cohosted the event, which attracted leaders from developers, IT companies, regulators, and other experts.
A. Dubi, S. A. W. Gerstl
Nuclear Science and Engineering | Volume 76 | Number 2 | November 1980 | Pages 198-217
Technical Paper | doi.org/10.13182/NSE80-A19451
Articles are hosted by Taylor and Francis Online.
Recently, a new Monte Carlo method called the contributon Monte Carlo method was developed. The method is based on the theory of “contributons” and utilizes a new recipe for estimating target responses using a volume integral over the contributon current. The analog features of the new method were discussed in previous publications. We examine the application of some biasing methods to the new contributon scheme. A theoretical model is developed that enables an analytic prediction of the benefit to be expected when these biasing schemes are applied to both the contributon method and regular Monte Carlo. This model is verified by a variety of numerical experiments and is shown to yield satisfying results, especially for deep-penetration problems. Other considerations regarding the efficient use of the new method are also discussed and remarks are made as to the application of other biasing methods.