ANS is committed to advancing, fostering, and promoting the development and application of nuclear sciences and technologies to benefit society.
Explore the many uses for nuclear science and its impact on energy, the environment, healthcare, food, and more.
Explore membership for yourself or for your organization.
Conference Spotlight
2026 Nuclear Energy Conference & Expo (NECX)
August 24–27, 2026
Dallas, TX|Hilton Anatole
Latest Magazine Issues
Jun 2026
Jan 2026
2026
Latest Journal Issues
Nuclear Science and Engineering
July 2026
Nuclear Technology
Fusion Science and Technology
Latest News
Two steps forward for U.K. advanced nuclear
This week, two significant announcements have emerged from the United Kingdom’s advanced reactor sector.
On June 14, Rolls-Royce, the United Kingdom National Nuclear Laboratory, and the Japan Atomic Energy Agency announced that they had signed two trilateral memorandums of cooperation to collaborate on “advanced modular reactor (AMR) technology, specifically high-temperature gas-cooled reactors (HTGR), and the coated particle fuel these reactors will use.”
Separately, on June 16, Bellevue, Wash.–based TerraPower announced that its Natrium reactor design has been formally submitted for U.K. regulatory review. The company also announced the formation of a new subsidiary, TerraPower UK Ltd.
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)
To access paper attachments, you must be logged in and registered for the meeting.
Register NowLog In
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)