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Human Factors, Instrumentation & Controls
Improving task performance, system reliability, system and personnel safety, efficiency, and effectiveness are the division's main objectives. Its major areas of interest include task design, procedures, training, instrument and control layout and placement, stress control, anthropometrics, psychological input, and motivation.
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ANS Student Conference 2025
April 3–5, 2025
Albuquerque, NM|The University of New Mexico
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Latest News
Argonne research aims to improve nuclear fuel recycling and metal recovery
Servis
Scientists at Argonne National Laboratory are investigating a used nuclear fuel recycling technology that could lead to a scaled-down and more efficient approach to metal recovery, according to a recent news article from the lab. The research, led by Argonne radiochemist Anna Servis with funding from the Department of Energy’s Advanced Research Projects Agency–Energy (ARPA-E), could have an impact beyond the nuclear fuel cycle and improve other high-value metal processing, such as rare earth recovery, according to Argonne.
The research: Servis’s work is being carried out under ARPA-E’s CURIE (Converting UNF Radioisotopes Into Energy) program. The specific project—Radioisotope Capture Intensification Using Rotating Packed Bed Contactors—started in 2023 and is scheduled to end in January 2026.
N. Dzysiuk, A. J. Koning, D. Rochman, U. Fischer
Fusion Science and Technology | Volume 73 | Number 1 | January 2018 | Pages 13-24
Technical Paper | doi.org/10.1080/15361055.2017.1372682
Articles are hosted by Taylor and Francis Online.
High-quality nuclear data are required for reliable design calculations of fusion reactors as well as analyses related to safety, licensing, waste management, and decommissioning issues. The current work is focused on improving neutron activation cross-section data for nuclear reactions needed for fusion applications but also satisfying specific astrophysical needs. The cross-section data were evaluated on the basis of nuclear model calculation using the TALYS-1.8 code with varying nuclear model parameters. The evaluated data were compared to recent experimental data taken from EXFOR and other evaluated nuclear data libraries. Validation of the current evaluations has been performed using both differential and integral data sets. The updated cross-section data are going to be adopted into the new version of the TALYS Evaluated Nuclear Data Library.