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Conference Spotlight
2026 Nuclear Energy Conference & Expo (NECX)
August 24–27, 2026
Dallas, TX|Hilton Anatole
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ANS webinar looks at radiation studies and living near nuclear plants
In February, a study published in Nature Communications found a correlation between proximity to nuclear power plants and rates of cancer mortality. While the authors acknowledged that causation could not be established, they nonetheless said that calculations supported evidence of 115,586 “cancer deaths attributable to nuclear power plants proximity.”
On its release, this study garnered significant media attention—sparking worry among the public and immediate pushback from radiation experts. ANS recently hosted a webinar taking a deeper look at what that study (and other similar proximity studies) got wrong, the science behind what we do and do not know, and why these conversations matter.
Technical Session|Special Topics
Thursday, August 24, 2023|10:45AM–12:25PM EDT|Columbia 3/4
Session Chair:
Majdi I. Radaideh
Alternate Chair:
Han Bao
Session Organizer:
Kurshad Muftuoglu
To access paper attachments, you must be logged in and registered for the meeting.
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Deep Learning Based Thermal Performance Optimization for the Liquid Metal Heat Pipe
10:45–11:05AM EDT
Ik Jae Jin (Ulsan Nat'l Institute Science and Technology), In Cheol Bang (Ulsan Nat'l Institute Science and Technology)
Paper
Coarse-Grid Data-Driven Navier-Stokes / Interface Capturing Model Development for Engineering-Scale Simulations
11:05–11:25AM EDT
Anna Iskhakova (NCSU), Arsen S. Iskhakov (NCSU), Yoshiyuki Kondo (Mitsubishi Heavy Industries), Koichi Tanimoto (Mitsubishi Heavy Industries), Nam T. Dinh (NCSU), Igor A. Bolotnov (NCSU)
Multi-Objective Optimization of Fractal-Tree Microchannels for Printed Circuit Heat Exchangers by Improved Genetic Algorithms
11:25–11:45AM EDT
Fan Yu (Helmholtz-Zentrum Dresden-Rossendorf), Wei Ding (Helmholtz-Zentrum Dresden-Rossendor), Sebastian Unger (Helmholtz-Zentrum Dresden-Rossendorf), Xiaoping Luo (South China Univ. Technology), Uwe Hampel (Helmholtz-Zentrum Dresden-Rossendorf)
Machine Learning Anomaly Data Detection and Accident Diagnosis Methodology Using MARS-KS Design Basis Event Analysis Database of APR1400 Nuclear Power Plant
11:45AM–12:05PM EDT
J.Y. Lee (Environment & Energy Technology), S.M. Park (Environment & Energy Technology), Y.K. Kwack (Environment & Energy Technology), Y.S. Kim (Environment & Energy Technology), N.H. Hoang (Environment & Energy Technology), S.K. Sim (Environment & Energy Technology)
