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Division Spotlight
Materials Science & Technology
The objectives of MSTD are: promote the advancement of materials science in Nuclear Science Technology; support the multidisciplines which constitute it; encourage research by providing a forum for the presentation, exchange, and documentation of relevant information; promote the interaction and communication among its members; and recognize and reward its members for significant contributions to the field of materials science in nuclear technology.
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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BREAKING NEWS: Trump issues executive orders to overhaul nuclear industry
The Trump administration issued four executive orders today aimed at boosting domestic nuclear deployment ahead of significant growth in projected energy demand in the coming decades.
During a live signing in the Oval Office, President Donald Trump called nuclear “a hot industry,” adding, “It’s a brilliant industry. [But] you’ve got to do it right. It’s become very safe and environmental.”
Wei Shen, Zhongsheng Xie, Banghua Yin
Nuclear Science and Engineering | Volume 121 | Number 1 | September 1995 | Pages 130-135
Technical Paper | doi.org/10.13182/NSE95-A24134
Articles are hosted by Taylor and Francis Online.
Green’s function nodal expansion method (GNEM) is developed for the efficient numerical solution of the multidimensional neutron diffusion equation. It is an improved version of the nodal expansion method (NEM) and the nodal Green’s function method (NGFM). The node interior fluxes are approximated by a high-order polynomial expansion as in NEM. The nodal surface fluxes are coupled with the net currents by using the Green’s function method to improve accuracy. The GNEM computer code is encoded and tested. The numerical results demonstrate that GNEM has the same accuracy as NGFM while it is twice as fast as NGFM.