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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.
2023 ANS Annual Meeting
June 11–14, 2023
Indianapolis, IN|Marriott Indianapolis Downtown
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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Nuclear Science and Engineering
Fusion Science and Technology
Route readiness elements in a large-scale spent nuclear fuel transportation system
The scale and duration of a national campaign to transport spent nuclear fuel (SNF) from commercial nuclear power plants around the United States would be unprecedented. A meticulous level of planning that considers many elements is needed to inspire public confidence and support.
Thursday, May 19, 2022|10:15AM–12:00PM EDT|Haselton
Petri Guimaraes (Studsvik Scandpower)
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A 3 Regions Model for LWR Fuel Pin Sensitivity Analysis with Depletion Perturbation Theory
Davide Portinari (Institut Laue Langevin), Yoann Calzavara (Institut Laue Langevin), Laurent Chabert (TechnicAtome), Adrien Bidaud (LPSC-IN2P3-CNRS)
Estimation of Recoverable Energies in Neutron-Induced Fission and Capture with Associated Uncertainties
Kingsley Ogujiuba (NCSU), Gregory Delipei (NCSU), Ugur Mertyurek (ORNL), Jason Hou (NCSU), William Wieselquist (ORNL), Kostadin Ivanov (NCSU)
The Effects Study of Nuclide-Number-Density Distribution on Response Function and DRWM Results
Jiahe Bai (Xi’an Jiaotong Univ.), Chenghui Wan (Xi’an Jiaotong Univ.), Yunzhao Li (Xi’an Jiaotong Univ.), Hongchun Wu (Xi’an Jiaotong Univ.)
Presented by Wei Shen (Xi'an Jiaotong Univ.)
Comparison of Nodal Numerical Adjoints from Various CMFD-Based Acceleration Schemes
Taesuk Oh (KAIST), Yonghee Kim (KAIST)
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