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Division Spotlight
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.
Meeting Spotlight
2024 ANS Annual Conference
June 16–19, 2024
Las Vegas, NV|Mandalay Bay Resort and Casino
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!
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Nuclear Science and Engineering
May 2024
Nuclear Technology
Fusion Science and Technology
Latest News
College students help develop waste-measuring device at Hanford
A partnership between Washington River Protection Solutions (WRPS) and Washington State University has resulted in the development of a device to measure radioactive and chemical tank waste at the Hanford Site. WRPS is the contractor at Hanford for the Department of Energy’s Office of Environmental Management.
Advances in Thermal Hydraulics (ATH 2022)
Technical Session
Tuesday, June 14, 2022|3:15–5:00PM PDT|Redondo
Session Chair:
Xu Wu (NCSU)
Session Organizers:
Matthew D. Zimmer (Naval Nuclear Lab)
Alternate Chair:
Jun Fang (ANL)
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Infrared Thermometry and Artificial Intelligence Provide Real-Time Insights into Boiling Heat Transfer
Madhumitha Ravichandran (MIT), Matteo Bucci (MIT)
Paper
On the Development of an Improved Drag Correlations for the Near-Wall Region of Pebble Beds
David Reger (Penn State), Elia Merzari (Penn State), Haomin Yuan (ANL), Yassin Hassan (TAMU), Paolo Balestra (INL), Sebastian Schunert (INL)
Uncertainty Analysis for Sub-Channel Code with Void Fraction Experiments
Meiqi Song (Shanghai Jiao Tong Univ.), Xiaojing Liu (Shanghai Jiao Tong Univ.), Ting Yang (Shanghai Univ. of Electric Power)
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