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Division Spotlight
Decommissioning & Environmental Sciences
The mission of the Decommissioning and Environmental Sciences (DES) Division is to promote the development and use of those skills and technologies associated with the use of nuclear energy and the optimal management and stewardship of the environment, sustainable development, decommissioning, remediation, reutilization, and long-term surveillance and maintenance of nuclear-related installations, and sites. The target audience for this effort is the membership of the Division, the Society, and the public at large.
Meeting Spotlight
Conference on Nuclear Training and Education: A Biennial International Forum (CONTE 2025)
February 3–6, 2025
Amelia Island, FL|Omni Amelia Island Resort
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!
Latest Magazine Issues
Jan 2025
Jul 2024
Latest Journal Issues
Nuclear Science and Engineering
February 2025
Nuclear Technology
Fusion Science and Technology
Latest News
Feinstein Institutes to research novel radiation countermeasure
The Feinstein Institutes for Medical Research, home of the research institutes of New York’s Northwell Health, announced it has received a five-year, $2.9 million grant from the National Institutes of Health to investigate the potential of human ghrelin, a naturally occurring hormone, as a medical countermeasure against radiation-induced gastrointestinal syndrome (GI-ARS).
Technical Session|Sponsored by MSTD
Wednesday, November 15, 2023|8:00–9:45AM EST|Jefferson West
Session Chair:
Jonathan Gigax
Alternate Chair:
Jake R. Quincey
Session Organizer:
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Phase-Field Modeling of Hot Isostatic Pressing for Joining Dissimilar Metals
8:00–8:20AM EST
Albert C. Lin (Univ. Wisconsin, Madison), Yongfeng Zhang (Univ. Wisconsin, Madison), Xiaoyuan Lou (Purdue)
Paper
Supervised Machine Learning for Classification of MgB2 Bulk Densities Based on SEM Micrographs
8:20–8:40AM EST
Fabiano Carvalho de Castro Sene (Univ. Tennessee, Knoxville)
Counterfeit Prevention Using Thermal Imaging for Binder-Jet Printed Parts
8:40–9:00AM EST
James Oti (Univ. Pittsburgh), Ryan Wassel (Univ. Pittsburgh), Jung-Kun Lee (Univ. Pittsburgh), Nikhil Bajaj (Univ. Pittsburgh)
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