{"title":"Deep learning approaches for high-resolution wind data enhancement around a nuclear power plant","authors":"Dakyoung Lee, Juryong Park, Eung Soo Kim","doi":"10.1016/j.net.2026.104186","DOIUrl":"10.1016/j.net.2026.104186","url":null,"abstract":"<div><div>When radioactive materials are released near nuclear power plants, local wind fields control the dispersion path and concentration distribution. In Korea, complex terrain, sea–land breezes, and seasonal variability amplify prediction uncertainty, underscoring the need for high-resolution wind data. This study proposes and validates a framework that combines physics-based Weather Research and Forecasting (WRF) modeling with deep learning to generate high-resolution winds while lowering computational cost. We employ a Transformer-based Uformer trained on WRF-generated datasets to perform super-resolution of wind fields, addressing the limitations of simple interpolation. To curb storage and data processing burdens from finer grids, we apply Singular Value Decomposition (SVD) for compact, low-loss compression. The super-resolved winds are coupled to a Lagrangian Patricle Dispersion Model (LPDM) to assess dispersion sensitivity and evaluate Uformer fidelity and SVD effectiveness. Experiments show horizontal resolution improved from 1.5 km to 300 m, capturing local flows dominating near-field transport. With SVD, data volume decreases by ∼32% with negligible reconstruction error (<span><math><mrow><mrow><mn>1.2</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>−</mo><mn>6</mn></mrow></msup></mrow><mo>)</mo></mrow></math></span>, enabling faster storage and reuse. Overall, the pipeline delivers high-resolution winds more quickly and efficiently than physical modeling, strengthening atmospheric dispersion predictions in complex meteorology typical of Korean nuclear power plant regions and enhancing the timeliness of radiological emergency decision support.</div></div>","PeriodicalId":19272,"journal":{"name":"Nuclear Engineering and Technology","volume":"58 6","pages":"Article 104186"},"PeriodicalIF":2.6,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146154260","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Qiang Li , Hantao Jing , Yongji Yu , Tao Yu , Zhihong Xu , Zhixin Tan
{"title":"Proton beam profile measurements and fluence rate monitoring of the associated proton experimental platform at CSNS","authors":"Qiang Li , Hantao Jing , Yongji Yu , Tao Yu , Zhihong Xu , Zhixin Tan","doi":"10.1016/j.net.2026.104177","DOIUrl":"10.1016/j.net.2026.104177","url":null,"abstract":"<div><div>The China Spallation Neutron Source (CSNS) has built an Associated Proton Experimental Platform (APEP) at the end of its linear accelerator, playing an important role in space device radiation testing, detector calibration, material radiation research, and other applications. The proton beam profile and real-time fluence rate are crucial parameters for experiments conducted at APEP, making their measurement and monitoring essential. In this paper, we systematically measured and analyzed the beam spot profiles of multiple standard beam modes of the APEP, ranging from 10 × 10 mm<sup>2</sup> to 50 × 50 mm<sup>2</sup>, using an Al<sub>2</sub>O<sub>3</sub> (Cr) scintillating screen and a camera. The variation of beam profile uniformity with proton energy was also investigated. To meet the requirements of high-precision experiments such as single-event effects, a Secondary Electron Emission Monitor (SEEM) was developed for real-time monitoring of the proton beam fluence rate, covering the application range of 1.2 × 10<sup>7</sup> to 4.0 × 10<sup>9</sup> cm<sup>−2</sup> s<sup>−1</sup>. It was verified that the monitoring data exhibits a good linear relationship with the fluence rate at the same proton energy. These measurements serve as an important foundation for experiments on APEP, providing necessary key data for various experimental studies.</div></div>","PeriodicalId":19272,"journal":{"name":"Nuclear Engineering and Technology","volume":"58 6","pages":"Article 104177"},"PeriodicalIF":2.6,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146193132","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Seohee Han, Hyunwoo Lim, Jonghyeok Lee, Hyosung Cho
{"title":"Quantitative analysis of grid geometry effects on spatial harmonic imaging–based single-grid phase-contrast X-ray imaging","authors":"Seohee Han, Hyunwoo Lim, Jonghyeok Lee, Hyosung Cho","doi":"10.1016/j.net.2026.104179","DOIUrl":"10.1016/j.net.2026.104179","url":null,"abstract":"<div><div>Single-grid phase-contrast X-ray imaging (SG-PCXI) enables simultaneous reconstruction of absorption, phase-contrast, and dark-field images from a single exposure using spatial harmonic imaging (SHI). Although the geometry of X-ray absorbing grids is known to influence imaging performance, its quantitative impact on SHI-based SG-PCXI has not been systematically characterized. This study investigates how the duty cycle (DC) and strip height of a grid affect fringe modulation, harmonic separation, and the resulting phase and dark-field sensitivity. Monte Carlo simulations were performed using the GATE 9.0 platform under controlled conditions (1 μm focal spot size and 10 μm detector pixel size). Increasing the DC from 0.16 to 0.66 improved grid visibility (GV) from 0.25 to 0.91 and the harmonic peak ratio (HPR) from 0.11 to 0.73. Increasing the strip height from 1.5 to 24.1 μm similarly raised GV from 0.09 to 0.91 and the HPR from 0.04 to 0.73. These changes resulted in a substantial increase in the edge signal-to-noise ratio (ESNR), from 5.4 to 32.6, with clearer edge definition in differential phase-contrast images and increased contrast in dark-field images. This work elucidates fundamental relationships between grid geometry, fringe modulation, and SHI performance, providing a quantitative basis for understanding design trade-offs in laboratory-scale SG-PCXI.</div></div>","PeriodicalId":19272,"journal":{"name":"Nuclear Engineering and Technology","volume":"58 6","pages":"Article 104179"},"PeriodicalIF":2.6,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146154261","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zeenat Zia , Ruoyu Zhong , Fei Meng , Muhammad Waqas Akbar
{"title":"Green innovation fuels nuclear energy development in times of external tensions and security challenges","authors":"Zeenat Zia , Ruoyu Zhong , Fei Meng , Muhammad Waqas Akbar","doi":"10.1016/j.net.2026.104181","DOIUrl":"10.1016/j.net.2026.104181","url":null,"abstract":"<div><div>Nuclear energy is a low-carbon and reliable source of energy that can replace conventional fossil fuels and contribute to sustainable development. However, the production of nuclear energy requires special technology and skills, and its safe operation is also a matter of concern. Given its significance, several studies have investigated the determinants of nuclear energy production; however, none of the past studies have estimated the influence of external conflicts and green innovation on nuclear energy production. The study employs the method of moments quantile regression (MMQR) estimation approach. The results indicate that external conflict significantly hinders nuclear energy production at all quantiles, whereas green innovation significantly enhances nuclear energy production at all levels. Nonetheless, globalization is crucial in augmenting nuclear energy output across all quantiles. The findings suggest that governments should prioritize green innovation–oriented R&D policies and stimulate nuclear energy investment.</div></div>","PeriodicalId":19272,"journal":{"name":"Nuclear Engineering and Technology","volume":"58 6","pages":"Article 104181"},"PeriodicalIF":2.6,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146193131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dongwook Kim , Hanggyo Jung , Jimyeong Lee , Seungkyu Kim , Jongwook Jeon
{"title":"From vulnerability to robustness: Radiation-hard isolation for BPR-enabled stacked nanosheet CFETs","authors":"Dongwook Kim , Hanggyo Jung , Jimyeong Lee , Seungkyu Kim , Jongwook Jeon","doi":"10.1016/j.net.2025.104104","DOIUrl":"10.1016/j.net.2025.104104","url":null,"abstract":"<div><div>The integration of Buried Power Rail (BPR) and Complementary FET (CFET) technologies is a promising way to improve power efficiency and circuit density in advanced logic devices. However, the radiation reliability of BPR-integrated logic and memory circuits remains insufficiently explored. For the first time, we provide a quantitative analysis of Single Event Effects (SEE) in BPR-integrated Si-CFET structures using semiconductor device- and circuit-level simulator. Simulation results show that the BPR structure increases the local electric field intensity by approximately 20.2 % compared to the conventional Front Power Rail (FPR), leading to extended charge collection paths and transient current densities up to 41.5 % higher under identical irradiation conditions. Moreover, mixed-mode simulations of SRAM latch circuits indicate that bit-flips can occur at Linear Energy Transfer (LET) levels as low as 1–2 MeV cm<sup>2</sup>/mg, indicating significant vulnerability under low-voltage operation. To address this, structural mitigation strategies—such as Buried Dielectric Isolation and Backside Contact—are proposed to increase the threshold LET margin to 34 MeV cm<sup>2</sup>/mg, representing a 17-fold improvement, without degrading device performance. These results offer critical design insights for enhancing radiation robustness in ultra-scaled logic and memory architectures using BPR integration.</div></div>","PeriodicalId":19272,"journal":{"name":"Nuclear Engineering and Technology","volume":"58 5","pages":"Article 104104"},"PeriodicalIF":2.6,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145941453","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Performance evaluation of tungsten coded-aperture masks with different tungsten material densities for a miniature gamma camera","authors":"Seungho Lee, Manhee Jeong","doi":"10.1016/j.net.2026.104119","DOIUrl":"10.1016/j.net.2026.104119","url":null,"abstract":"<div><div>This study presents a material-density engineering approach to further miniaturize gamma-ray imaging systems for unmanned platforms with strict payload limitations. Three coded-aperture masks were fabricated with identical geometry but different densities: pure tungsten (19.3 g/cm<sup>3</sup>) and tungsten filament composites (7.8 g/cm<sup>3</sup> and 4.0 g/cm<sup>3</sup>). These masks were integrated into a miniature gamma camera and systematically evaluated in terms of spectroscopic and imaging performance, with results benchmarked against the commercial Energetic Particle Sensor for the Identification and Localization of Originating Nuclei-Gamma (EPSILON-G) system. Spectroscopic tests with a <sup>137</sup>Cs source demonstrated an energy resolution of 6.35 %, representing an improvement of about 2 % compared with EPSILON-G, along with favorable peak-to-Compton ratio (PCR) and peak-to-Valley ratio (PVR) values. Imaging results showed that lower mask density generally reduced field of view, angular resolution, and sensitivity. However, the 7.8 g/cm<sup>3</sup> tungsten filament mask achieved the optimal balance, yielding 5.6° angular resolution and sensitivity 2–3 times higher than EPSILON-G. Notably, EPSILON-G required up to 150 s for image reconstruction under the same dose-rate conditions, whereas the miniature system localized sources more rapidly due to additional shielding suppressing background radiation. The 7.8 g/cm<sup>3</sup> mask reduced weight by 57 % relative to pure tungsten, and the complete miniature gamma camera weighed only ∼700 g, underscoring its suitability for unmanned deployment.</div></div>","PeriodicalId":19272,"journal":{"name":"Nuclear Engineering and Technology","volume":"58 5","pages":"Article 104119"},"PeriodicalIF":2.6,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145980454","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Integration of DICE and MELCOR for dynamic event tree analysis: Case study for RCS failure phenomena","authors":"Dohun Kwon, Gyunyoung Heo","doi":"10.1016/j.net.2026.104115","DOIUrl":"10.1016/j.net.2026.104115","url":null,"abstract":"<div><div>Dynamic Event Tree Analysis enhances NPP safety assessment by systematically introducing stochastic variability into deterministic simulations and explicitly representing operator actions, system availability, and temporal dependencies. Following the Fukushima accident, the importance of severe accident risk evaluation has grown, and in South Korea, Level 2 PSA is closely tied to safety objectives such as the LERF and Cs-137 release frequency. Physics-based codes such as MELCOR are widely used to support these analyses, yet their efficient integration with dynamic tools remains challenging.</div><div>This study presents a practical methodology for coupling the DICE platform with MELCOR 2.x using the Analytic Control Function (ACF). Unlike traditional external interfaces, ACF enables direct, bidirectional communication, reducing data-transfer overhead and improving scalability for large simulations. The coupled DICE–MELCOR framework automates scenario generation while capturing operator response times, system availability, and thermal-hydraulic behavior. A station blackout case study in a two-loop PWR demonstrates that the approach explicitly represents uncertainty and yields more realistic insights into accident progression.</div><div>The results show that ACF-based integration enhances Level 2 PSA fidelity by enabling scenario exploration that better reflects plant dynamics and operator interactions. This methodology provides a robust foundation for reevaluating severe accident management strategies and supporting regulatory safety goals.</div></div>","PeriodicalId":19272,"journal":{"name":"Nuclear Engineering and Technology","volume":"58 5","pages":"Article 104115"},"PeriodicalIF":2.6,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145980458","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Khang Hoang Nhat Nguyen , Junyung Kim , Nicholas Rollins , Juan C. Luque-Gutierrez , Jason Hou , Svetlana Lawrence , Congjian Wang , Mohammad Abdo
{"title":"Optimizing pressurized-water reactor equilibrium cycle using a novel loading pattern encoding and rule-based genetic crossover operators","authors":"Khang Hoang Nhat Nguyen , Junyung Kim , Nicholas Rollins , Juan C. Luque-Gutierrez , Jason Hou , Svetlana Lawrence , Congjian Wang , Mohammad Abdo","doi":"10.1016/j.net.2026.104113","DOIUrl":"10.1016/j.net.2026.104113","url":null,"abstract":"<div><div>This work presents an extended multibatch approach applied in a shuffling scheme optimization for the pressurized-water reactor equilibrium cycle using genetic algorithms (GAs). A new ruled-based GA crossover operator called inherited location and batch (ILB) was introduced to enhance offsprings reproduction efficiency specialized for the equilibrium cycle optimization problem. This approach was implemented within the Plant ReLoad Optimization (PRLO) framework and validated using a generic reactor model based on the AP1000 design, with core parameters calculated via the CASMO/SIMULATE software package. The ILB approach is then applied for both single- and multi-objective problems in maximizing cycle length and core average exposure while minimizing the average enrichment of the 57 fresh fuel assemblies per cycle. The optimal solutions are selected based on their dominance from all feasible solutions. This research identified three optimal solutions that satisfied safety constraints: the first minimizes feed enrichment costs with a cycle length of 338.8 days and core exposure of 25.39 MWd/MT, the second extends the cycle length to 361.2 days and core exposure of 26.84 MWd/MT using a 3.75 wt% average fuel enrichment, and the third balances both objectives with a cycle length of 349.6 days and core exposure of 25.82 MWd/MT with a slight enrichment increase compared to the first solution. Collectively, these findings underscore the efficiency and effectiveness of the proposed approach in achieving practical multiobjective optimal equilibrium cycle designs using GAs optimizer.</div></div>","PeriodicalId":19272,"journal":{"name":"Nuclear Engineering and Technology","volume":"58 5","pages":"Article 104113"},"PeriodicalIF":2.6,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145980448","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Gyudong Kim, Yong Jae Chae, Takhyun Chun, Jeong Ik Lee
{"title":"Small modular reactors (SMRs): Comparison of saturated versus superheated steam Rankine cycle under equal thermodynamic constraints","authors":"Gyudong Kim, Yong Jae Chae, Takhyun Chun, Jeong Ik Lee","doi":"10.1016/j.net.2026.104161","DOIUrl":"10.1016/j.net.2026.104161","url":null,"abstract":"<div><div>With part-load operation is increasingly becoming important issue for small modular reactors (SMRs), two secondary Rankine cycles for a 500 MWth pressurized-water-reactor small modular reactor were compared under identical thermodynamic constraints: a saturated-steam cycle with a U-tube steam generator and a superheated-steam cycle with a once-through steam generator were designed under identical primary-side conditions and the same steam-generator pinch-point temperature difference. Moreover, feedwater heaters satisfied fixed terminal temperature difference and drain-cooler approach limits. Part-load performance (25–100 %) was evaluated using the Stodola-based off-design turbine model with wet-steam penalties and steam-generator pressure/temperature programs consistent with each generator type (i.e., constant-average-temperature for the U-tube steam generator; constant-secondary-pressure for the once-through steam generator). High-pressure turbine pressure ratio and the split between reheater bypass and third feedwater-heater extraction were optimized for maximizing net efficiency. Equipment sizing was assessed via total heat-transfer coefficient–area product. Both cycles achieved similar peak net efficiency. The superheated-steam cycle required lower steam mass flow and smaller total heat-transfer coefficient–area product (i.e., UA), indicating a compact power-conversion system. The saturated-steam cycle was slightly superior at full load, whereas the superheated-steam cycle maintained higher efficiency and smaller reheater and extraction-flow variations at part load. These results provide a constraint-matched benchmark for small modular reactor power conversion systems prioritizing compactness and part-load robustness.</div></div>","PeriodicalId":19272,"journal":{"name":"Nuclear Engineering and Technology","volume":"58 5","pages":"Article 104161"},"PeriodicalIF":2.6,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146090480","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Improving the detection efficiency of IRan ANtineutrino Detector (IRAND) based on Convolutional Neural Network (CNN)","authors":"Mahdieh Sadat Mousavi, Faezeh Rahmani","doi":"10.1016/j.net.2026.104118","DOIUrl":"10.1016/j.net.2026.104118","url":null,"abstract":"<div><div>Discriminating reactor electron antineutrino from the cosmic muon is a fundamental challenge in antineutrino detection using Inverse Beta Decay (IBD) interaction in scintillator-based detectors. This study introduces an innovative approach by employing a Convolutional Neural Network (CNN) in the IRAND-Sim-02 simulation package to distinguish between muon and antineutrino in the IRAND (a 10 × 10 array of segmented plastic scintillator IRan ANtineutrino Detector) for improving IRAND's performance. A training dataset was generated using Geant4 via the IRAND-Sim-02 package (analytical images-Temporal Probability Density, Time vs. Photocathode ID, and photocathode activation topology-to encode the spatiotemporal patterns of the events). For model evaluation, an independent test dataset, reflecting the true antineutrino-to-cosmic-muon ratio, was automatically produced by establishing a real-time Geant4-Python TCP socket connection. The overall accuracy of 99.97 % by CNN model demonstrates the precise event classification. Compared with traditional machine learning approaches, such as Artificial Neural Network (ANN) and Decision Tree models, the proposed CNN demonstrates greater reliability in distinguishing IBD events from cosmic muon backgrounds, particularly under class imbalance conditions, which highlights the considerable potential of our method for improving nuclear reactor monitoring and represent a significant advancement in the application of deep learning to fundamental particle detection.</div></div>","PeriodicalId":19272,"journal":{"name":"Nuclear Engineering and Technology","volume":"58 5","pages":"Article 104118"},"PeriodicalIF":2.6,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145980455","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}