Enabling Digital Twinning via Information-Theoretic Machine Learning-based Inference Intelligence
December 2024, Purdue University
Measurement of Rare Reaction Yields by
Gamma-Activation Analysis Method
June 2017, Moscow State University
Neural Network-based Flexible Regression Inspired by Classfication Tasks, Jeongwon Seo, and Kevin T. Clarno (submitted to Journal of Verification, Validation and Uncertainty Quantification)
Fission Product-Based Monitoring for NuclearMaterial Evolution in Molten Chloride Fast Reactors, Saehyun Choi, Jeongwon Seo, Wonseok Yang, Taehoon Park, and Sungyeol Choi (submited to Nuclear Engineering and Technology)
Comparative Analysis of Standard and Advanced USL Methodologies for Nuclear Criticality Safety, Jeongwon Seo, Hany S. Abdel-Khalik, Ugur Mertyurek, Goran Arbanans, William Marshall, and William Wieselquist, Nuclear Science and Engineering, 2023 (Link)
ACCRUE - An Integral Index for Measuring Experimental Relevance in Support of Neutronic Model Validation, Jeongwon Seo, Hany S. Abdel-Khalik, and Aaron S. Epiney, 2021 (Link)
Non-intrusive Stochastic Approach for Nuclear Cross-sections Adjustment - Dongli Huang, Jeongwon Seo, Salma Magdi, Alya Badawi, and Hany S. Abdel-Khalik, Annals of Nuclear Engineering, 2021 (Link)
Addressing Ambiguities in Constrained Sensitivity Analysis for Reactor Physics Problems, Jeongwon Seo, Hany S. Abdel-Khalik, and Zoltan Perko, Nuclear Technology, 2020 (Link)
Prediction of Startup Excess Reactivity in TRIGAMK II Reactor: A Neural Network Approach, Jeongwon Seo, William S. Charlton, and Kevin T. Clarno, 2025 ANS annual meeting (Download)
Advancing Uncertainty Reduction: Applications for ACCRUE Relevance in Nuclear Criticality Safety, Jeongwon Seo, Ugur Mertyurek, and Kevin T. Clarno, M&C 2025 (Download)
Softmax-based Deep Neural Network in Regression, Jeongwon Seo, and Kevin T. Clarno, VVUQ 2025 (Download)
Using Entropy Estimation to Quantify Nonlinear Experimental Relevance, Congjian Wang, Jeongwon Seo, Mohammad Abdo, Hany S. Abdel-Khalik, M&C 2023 (Download)
Addressing Unaccounted Uncertainties For in GLLSM's Best-Estimates Calcaultaion by Uncertainty Relaxation, Jeongwon Seo, and Hany S. Abdel-Khalik, NPIC&HMIT 2023 (Download)
Inference of BWR Irradiation History Employing Discharged Fuel Isotopics, Tarikul Islam, Shiming Yin, Jeongwon Seo, and Hany S. Abdel-Khalik, NPIC&HMIT 2023 (Download)
Adjustment-Controlled GLLSM Applications for Nuclear Criticality Safety Analysis, JeongwonSeo, and Hany S. Abdel-Khalik, 2023 ANS annual meeting (Download)
Estimation of Irradiation History in BWR Spectrum Utilizing Discharged Fuel Isotopics, Tarikul Islam, Shiming Yin, Jeongwon Seo, and Hany S. Abdel-Khalik, 2023 ANS annual meeting (Download)
Consistency-Based Benchmark Rejection Used for Nuclear Criticality Safety Analysis Applications, Jeongwon Seo, and Hany S. Abdel-Khalik, 2023 ANS Student Conference (Download)
Quantitative Score for Benchmark Selection for Criticality Safety, Jeongwon Seo, and Hany S. Abdel-Khalik, 2022 ANS Winter Meeting and Technology Expo (Download)
Comparative Analysis of USL Estimation Methods, Jeongwon Seo, and Hany S. Abdel-Khalik, ANS Annual Meeting 2022 (Download)
ACCRUE - An Integral Similarity Index in Support of Neutronic Model Validation, Jeongwon Seo, Hany S. Abdel-Khalik, and Aaron Epiney, 2021 ANS Winter Meeting and Technology Expo (Download)
Non-intrusive Alternative to Generalized Linear Least-squares Methodology for Criticality Safety Applications, Jeongwon Seo, Dongli Huang, Ugur Mertyurek, and Hany S. Abdel-Khalik, M&C2021 (Download)
Constrained Sensitivity Analysis for Reactor Physics Problems, Jeongwon Seo, Hany S. Abdel-Khalik, and Zoltan Perko, ANS Annual Meeting 2020 (Download)