All Research Papers Published In Nuclear Engineering and Technology

Research Article
10.1016/j.net.2026.104341

A novel adaptive acceleration method based on online IOCA-DMD and its application to a self-developed NEM code

Aug 01, 2026
Nuclear Engineering and Technology
Yihan Zhang + 8 more +8

Research Article
10.1016/j.net.2026.104353

Machine learning integrating physical model for predicting vortex-induced vibration of tube bundles

Aug 01, 2026
Nuclear Engineering and Technology
Jiachun Hu + 5 more +5

Research Article
10.1016/j.net.2026.104293

A comprehensive study of proton radiation effects on TSX graphite

Aug 01, 2026
Nuclear Engineering and Technology
Mohamad Amin Amirkhani + 2 more +2

Research Article
10.1016/j.net.2026.104331

Cluster dynamics modeling of hydrogen saturation retention in tungsten with a universal trapping-site sink strength

Aug 01, 2026
Nuclear Engineering and Technology
Yuanyuan Zhang + 3 more +3

Research Article
10.1016/j.net.2026.104326

Application of information-theoretic eye movement metrics in nuclear power Symptom-oriented emergency procedure training: Evaluation of training effects and cognitive load

Aug 01, 2026
Nuclear Engineering and Technology
Wenming Chen + 5 more +5

Research Article
10.1016/j.net.2026.104300

EMBRACEing HuREX data: A fundamental approach to develop a plant-specific human reliability analysis method

Jul 01, 2026
Nuclear Engineering and Technology
Yochan Kim + 1 more +1

Plant-specific human reliability analysis (HRA) tailors human error probabilities (HEPs) to a facility's unique contexts. The diversity of digital human-machine interfaces and operational cultures necessitates methods grounded in empirical data rather than generic databases to ensure true plant-specificity. Advancing beyond prior fragmented data applications, this study establishes a systematic pipeline integrating the HuREX (Human Reliability data Extraction) database with the EMBRACE (EMpirical data-Based crew Reliability Assessment and Cognitive Error analysis) method. By sharing a unified task taxonomy, this framework directly translates plant-specific simulator data into coherent HEP estimates. In an application of this framework to the APR1400 plant, time-dependent failure probabilities were derived using Bayesian inference on 30 simulator performance records. Concurrently, nominal primitive error probabilities (NPEPs) were estimated via logistic regression from 44,585 task records. Due to current data scarcity, performance shaping factor (PSF) multipliers were determined through structured expert elicitation. This data-method integration provides a replicable foundation for generating context-sensitive HEPs in digitalized control rooms, highlighting both empirical strengths and current data limitations. • A plant-specific HRA approach is developed by integrating HuREX with EMBRACE. • HuREX data support the estimation of the time and cognitive failure probabilities. • The proposed approach is applied to estimate HEPs for the APR1400 plant. • Limitations such as reliance on expert judgment are discussed.

Research Article
10.1016/j.net.2026.104291

Design and implementation of the CEE slow control system DevOps platform

Jul 01, 2026
Nuclear Engineering and Technology
Kai Zhou + 8 more +8

Research Article
10.1016/j.net.2026.104279

Design and implementation of a novel integrated timing and fast protection system for in-hospital AB-BNCT

Jul 01, 2026
Nuclear Engineering and Technology
Peng Zhu + 11 more +11

Research Article
10.1016/j.net.2026.104308

Study on regulatory gap analysis of LOCA for the RCPB in SMR in South Korea

Jul 01, 2026
Nuclear Engineering and Technology
Haque Sk Nazmul + 3 more +3

Research Article
10.1016/j.net.2026.104276

Generalized noise power spectrum modeling for robotic CT with arbitrary scan paths

Jul 01, 2026
Nuclear Engineering and Technology
Seungjun Yoo + 4 more +4