| Development and assessment of a nearly autonomous management and control system for advanced reactors L Lin, P Athe, P Rouxelin, M Avramova, A Gupta, R Youngblood, J Lane, ... Annals of Nuclear Energy 150, 107861, 2021 | 73 | 2021 |
| Uncertainty quantification and software risk analysis for digital twins in the nearly autonomous management and control systems: A review L Lin, H Bao, N Dinh Annals of Nuclear Energy 160, 108362, 2021 | 68 | 2021 |
| Digital-twin-based improvements to diagnosis, prognosis, strategy assessment, and discrepancy checking in a nearly autonomous management and control system L Lin, P Athe, P Rouxelin, M Avramova, A Gupta, R Youngblood, J Lane, ... Annals of Nuclear Energy 166, 108715, 2022 | 35 | 2022 |
| Using deep learning to explore local physical similarity for global-scale bridging in thermal-hydraulic simulation H Bao, N Dinh, L Lin, R Youngblood, J Lane, H Zhang Annals of Nuclear Energy 147, 107684, 2020 | 31 | 2020 |
| Literature review of advanced reactor cost estimates A Abou-Jaoude, L Lin, C Bolisetti, EK Worsham, LM Larsen, AS Epiney Idaho National Laboratory (INL), Idaho Falls, ID (United States), 2023 | 26 | 2023 |
| Development of the machine learning-based safety significant factor inference model for diagnosis in autonomous control system J Lee, L Lin, P Athe, N Dinh Annals of Nuclear Energy 162, 108443, 2021 | 21 | 2021 |
| Development and assessment of a model predictive controller enabling anticipatory control strategies for a heat-pipe system L Lin, J Oncken, V Agarwal, C Permann, A Gribok, T McJunkin, S Eggers, ... Progress in Nuclear Energy 156, 104527, 2023 | 15 | 2023 |
| Development and assessment of prognosis digital twin in a NAMAC system L Lin, A Gurgen, N Dinh Annals of Nuclear Energy 179, 109439, 2022 | 13 | 2022 |
| 3D simulation of External Flooding Events for the RISMC Pathway S Prescott, D Mandelli, R Sampath, C Smith, L Lin Idaho National Lab.(INL), Idaho Falls, ID (United States), 2015 | 12 | 2015 |
| Operational Resilience of Nuclear-Renewable Integrated-Energy Microgrids B Poudel, L Lin, T Phillips, S Eggers, V Agarwal, T McJunkin Energies 15 (3), 789, 2022 | 11 | 2022 |
| Adequacy evaluation of smoothed particle hydrodynamics methods for simulating the external-flooding scenario L Lin, N Montanari, S Prescott, R Sampath, H Bao, N Dinh Nuclear Engineering and Design 365, 110720, 2020 | 11 | 2020 |
| Explainable artificial intelligence technology for predictive maintenance CMB Walker, V Agarwal, L Lin, AC Hall, RA Hill, R Laurids, TJ Mortenson, ... Idaho National Laboratory (INL), Idaho Falls, ID (United States), 2023 | 9 | 2023 |
| A data-driven approach to scale bridging in system thermal-hydraulic simulation H Bao, R Youngblood, H Zhang, N Dinh, L Lin, J Lane NURETH-18. Portland, Oregon, 2019 | 9 | 2019 |
| Data coverage assessment on neural network based digital twins for autonomous control system L Wang, L Lin, N Dinh Annals of Nuclear Energy 182, 109568, 2023 | 8 | 2023 |
| Development and Assessment of Smoothed Particle Hydrodynamics Methods for Analysis of External Hazards L Lin North Carolina State University, 2019 | 8 | 2019 |
| Development and assessment of data-driven digital twins in a nearly autonomous management and control system for advanced reactors L Lin, P Rouxelin, P Athe, N Dinh, J Lane International conference on nuclear engineering 83761, V001T06A027, 2020 | 7 | 2020 |
| Adaptive Model Predictive Control for Heat Pipe–Cooled Microreactors Under Normal and Heat Pipe Failure Conditions J Oncken, L Lin, V Agarwal Nuclear Technology, 1-16, 2024 | 6 | 2024 |
| Advanced Transient Diagnostic wwith Ensemble Digital Twin Modeling E Chen, L Lin, N Dinh Cornell University (arXiv) 22, 2022 | 6 | 2022 |
| On the formalization of development and assessment process for digital twins L Lin, H Bao, N Dinh ANS Winter Meeting, 2020 | 6 | 2020 |
| Predictive capability maturity quantification using Bayesian network L Lin, N Dinh Journal of Verification, Validation and Uncertainty Quantification 5 (3), 031001, 2020 | 6 | 2020 |