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Conference Spotlight
2026 ANS Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
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Latest News
IAEA project aims to develop polymer irradiation model
The International Atomic Energy Agency has launched a new coordinated research project (CRP) aimed at creating a database of polymer-radiation interactions in the next five years with the long-term goal of using the database to enable machine learning–based predictive models.
Radiation-induced modifications are widely applicable across a range of fields including healthcare, agriculture, and environmental applications, and exposure to radiation is a major factor when considering materials used at nuclear power plants.
Technical Session
Wednesday, May 18, 2022|10:15AM–12:00PM EDT|Haselton
Session Chair:
Petri Guimaraes (Studsvik Scandpower)
Alternate Chair:
Baocheng Zhang (Westinghouse Electric Co.)
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Proposal and Application of ROM-Lasso Method for Sensitivity Coefficient Evaluation
Ryota Katano (Japan Atomic Energy Agency), Akio Yamamoto (Nagoya Univ.), Tomohiro Endo (Nagoya Univ.)
Paper
Presentation Video (Visible to Attendees) — Proposal and Application of ROM-Lasso Method for Sensitivity Coefficient Evaluation
A New Approach for Resonance Treatment of Doubly Heterogeneous Fuel Using the RSE Method
Akio Yamamoto (Nagoya Univ.), Tomohiro Endo (Nagoya Univ.), Satoshi Takeda (Osaka Univ.), Hiroki Koike (Mitsubishi Heavy Industries), Kazuya Yamaji (Mitsubishi Heavy Industries), Koichi Ieyama (Mitsubishi Heavy Industries), Koji Asano (Mitsubishi Heavy Industries)
Presentation Video (Visible to Attendees) — A New Approach for Resonance Treatment of Doubly Heterogeneous Fuel Using the RSE Method
Applicability Study of Bayesian Optimization in Core Neutronic Design Using a Toy Model
Kazuki Kuwagaki (Japan Atomic Energy Agency), Kenji Yokoyama (Japan Atomic Energy Agency)
Presentation Video (Visible to Attendees) — Applicability Study of Bayesian Optimization in Core Neutronic Design Using a Toy Model
Data Assimilation for Burnup Distribution of PWR with Three-Dimensional Variational Algorithm and Artificial Neutral Network
Lin Guo (Xi’an Jiaotong Univ.), Chenghui Wan (Xi’an Jiaotong Univ.), Hongchun Wu (Xi’an Jiaotong Univ.)
Presented by Wei Shen (Xi'an Jiaotong Univ.)
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