Using Deep Learning to Explore Local Physical Similarity for Global-scale Bridging in Thermal-hydraulic Simulation. - Han Bao 004; Nam Dinh; Linyu Lin; Robert Youngblood; Jeffrey Lane; Hongbin Zhang (CoRR, 2020)

Predictive Capability Maturity Quantification using Bayesian Network. - Linyu Lin; Nam Dinh (CoRR, 2020)

Uncertainty Quantification and Software Risk Analysis for Digital Twins in the Nearly Autonomous Management and Control Systems: A Review. - Linyu Lin; Han Bao 004; Nam Dinh (CoRR, 2021)

Digital-Twin-Based Improvements to Diagnosis, Prognosis, Strategy Assessment, and Discrepancy Checking in a Nearly Autonomous Management and Control System. - Linyu Lin; Paridhi Athe; Pascal Rouxelin; Maria Avramova; Abhinav Gupta 005; Robert Youngblood; Nam Dinh (CoRR, 2021)

Advanced Transient Diagnostic with Ensemble Digital Twin Modeling. - Edward Chen; Linyu Lin; Nam T. Dinh (CoRR, 2022)

Detection method of the seat belt for workers at height based on UAV image and YOLO algorithm. - Yuzheng Liu; Jianxun Zhang; Lei Shi; Mingxiang Huang; Linyu Lin; Lingfeng Zhu; Xianglu Lin; Chuanlei Zhang (Array, 2024)

Multistep Criticality Search and Power Shaping in Microreactors with Reinforcement Learning. - Majdi I. Radaideh; Leo Tunkle; Dean Price; Kamal Abdulraheem; Linyu Lin; Moutaz Elias (CoRR, 2024)

Trustworthiness modeling and evaluation for a nearly autonomous management and control system. - Longcong Wang; Linyu Lin; Nam Dinh (Reliab. Eng. Syst. Saf., 2024)

Reliability modeling in a predictive maintenance context: A margin-based approach. - Diego Mandelli; Congjian Wang; Vivek Agarwal; Linyu Lin; Koushik A. Manjunatha (Reliab. Eng. Syst. Saf., 2024)

Nuclear Microreactor Control with Deep Reinforcement Learning. - Leo Tunkle; Kamal Abdulraheem; Linyu Lin; Majdi I. Radaideh (CoRR, 2025)