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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.
2022 ANS Annual Meeting
June 12–16, 2022
Anaheim, CA|Anaheim Hilton
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
Cost drivers of nuclear steam cycle construction
Interest in reducing carbon emissions around the world continues to climb. As a complement to the increasing deployment of variably generating renewables, advanced nuclear is commonly shown in net-zero grid modeling for 2050 because it represents firm electricity production that can flex in output with load demands.1 However, these projections are challenged by the high levelized cost of electricity associated with legacy nuclear construction, which is often more than double that of modern combined-cycle gas turbine (CCGT) plants.
12th Nuclear Plant Instrumentation, Control and Human-Machine Interface Technologies (NPIC&HMIT 2021)
Tuesday, June 15, 2021|1:15–3:00PM (2:15–4:00PM EDT)
Zachary Spielman (INL)
Jamie B. Coble (University of Tennessee-Knoxville)
Janet Davis (ANS)
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Validation of VERA Software for Nuclear Power Plant Life Extension Applications
J. R. Houser (Analysis and Measurement Services Corp.), S. N. Tyler (Analysis and Measurement Services Corp.), T. J. Cole (Analysis and Measurement Services Corp.), W. H. Ferrell (Analysis and Measurement Services Corp.)
A Recursive Data-Driven Approach to State Variable Selection and Digital Twin Derivation
Haoyu Wang (ANL), Roberto Ponciroli (ANL), Richard B. Vilim (ANL), Andrea Alfonsi (INL), Cristian Rabiti (INL)
Use of the Extended Kalman Filter for Cybersecurity Assessment in a Closed-Loop Digital Twin Testbed
R. Busquim e Silva (IAEA), J.R. C. Piqueira (Univ. of Sao Paulo), R. P. Marques (Univ. of Sao Paolo)
Explainable and Trustworthy Diagnostics Achievable Through Process-Based Automated Reasoning
R. Vilim (ANL), T. Nguyen (ANL), R. Ponciroli (ANL)
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