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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.
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November 30–December 3, 2021
Washington, DC|Washington Hilton
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How will you celebrate Nuclear Science Week?
It’s the third week of October, and Nuclear Science Week, first recognized in 2009, has arrived! Nuclear Science Week is an annual opportunity to celebrate nuclear science; recognize the professionals who apply it to solving the world’s most pressing problems; encourage nuclear professional development and networking; and share information with students, educators, and community members about the vital role of nuclear science in the lives of all people.
Qian Zhang, Qiang Zhao, Zhijian Zhang, Liang Liang, Won Sik Yang, Hongchun Wu, Liangzhi Cao
Nuclear Science and Engineering | Volume 192 | Number 3 | December 2018 | Pages 311-327
Technical Note | dx.doi.org/10.1080/00295639.2018.1501977
Articles are hosted by Taylor and Francis Online.
The deviations brought by the embedded self-shielding method with the pseudo-resonant isotope model is investigated. Numerical results show that error sources mainly come from the inconsistency in the heterogeneous resonance integral (RI) generated in the two-dimensional square pin–cell case with reflective boundary conditions. The high-order resonance interference effect also contributes to the deviation. The black assumption on the macroscopic cross section of the fuel is proposed to enhance the consistency in the generation of the heterogeneous RI table. Numerical results show that the modification on the original embedded self-shielding method improves the accuracy of the cross-section prediction in the multifuel lattice systems.