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Conference Spotlight
2026 ANS Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
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Nuclear Science and Engineering
March 2026
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February 2026
Fusion Science and Technology
January 2026
Latest News
Fusion energy: Progress, partnerships, and the path to deployment
Over the past decade, fusion energy has moved decisively from scientific aspiration toward a credible pathway to a new energy technology. Thanks to long-term federal support, we have significantly advanced our fundamental understanding of plasma physics—the behavior of the superheated gases at the heart of fusion devices. This knowledge will enable the creation and control of fusion fuel under conditions required for future power plants. Our progress is exemplified by breakthroughs at the National Ignition Facility and the Joint European Torus.
Technical Session|Methods
Wednesday, April 24, 2024|1:30–3:15PM PDT|Franciscan D
Session Chair:
Tamer Bahadir (Studsvik Scandpower)
Alternate Chair:
Qicang Shen (Univ. Michigan)
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Preliminary Study on Two-Dimensional SP3 Calculation Based on POD-Local/Global Iterations
1:30–1:50PM PDT
Masato Ito (Nagoya Univ.), Akio Yamamoto (Nagoya Univ.), Tomohiro Endo (Nagoya Univ.), Yasuhiro Kodama (Nuclear Fuel Industries), Taichi Takeishi (Nuclear Fuel Industries), Hiroaki Nagano (Nuclear Fuel Industries)
Paper
Real-Time 3D Fine Spatial Mesh Kinetics Simulator Using POD for Coupled Core
1:50–2:10PM PDT
Kaito Ito (Nagoya Univ.), Kosuke Tsujita (Nuclear Engineering), Tomohiro Endo (Nagoya Univ.), Akio Yamamoto (Nagoya Univ.)
Neutron Flux Reconstruction from Out-Core Sparse Measurements Using Data-Driven Reduced Order Modelling
2:10–2:30PM PDT
Stefano Riva (Politecnico di Milano), Sophie Deanesi (Politecnico di Milano), Carolina Introini (Politecnico di Milano), Stefano Lorenzi (Politecnico di Milano), Antonio Cammi (Politecnico di Milano)
Presented by Lorenzo Loi (Politecnico di Milano)
Reconstruction of In-Core Power Distribution Based on POD Using Ex-Core Detector Signals
2:30–2:50PM PDT
Yuki Urase (Nagoya Univ.), Tomohiro Endo (Nagoya Univ.), Akio Yamamoto (Nagoya Univ.)
Hybrid Reduced-Order Modeling Based on Reduced Basis and PCQM Methods for Time-Dependent Diffusion Problem with Cross Section Feedback
2:50–3:10PM PDT
Qicang Shen (Univ. Michigan), Brendan Kochunas (Univ. Michigan)
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