| 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 | 59 | 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 | 53 | 2021 |
| 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 | 29 | 2020 |
| 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 | 28 | 2022 |
| 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 | 16 | 2021 |
| 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 |
| 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 |
| 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 |
| Literature Review of Advanced Reactor Cost Estimates A Abou Jaoude, C Bolisetti, L Lin, LM Larsen, AS Epiney, EK Worsham Idaho National Laboratory (INL), Idaho Falls, ID (United States), 2023 | 8 | 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 | 8 | 2022 |
| Development and Assessment of Smoothed Particle Hydrodynamics Methods for Analysis of External Hazards L Lin North Carolina State University, 2019 | 8 | 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 | 7 | 2023 |
| 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 |
| 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 | 6 | 2023 |
| On the formalization of development and assessment process for digital twins L Lin, H Bao, N Dinh ANS Winter Meeting, 2020 | 6 | 2020 |
| Assessment of the Smoothed Particle Hydrodynamics method for Nuclear Thermal-Hydraulic Applications. L Lin | 6 | 2016 |
| 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 | 5 | 2022 |
| Predictive capability maturity quantification using Bayesian network L Lin, N Dinh Journal of Verification, Validation and Uncertainty Quantification 5 (3), 031001, 2020 | 5 | 2020 |
| Predictive capability and maturity assessment with bayesian network L Lin, N Dinh Proceedings of the Transactions of the American Nuclear Society 118, 1087-1090, 2018 | 5 | 2018 |
| Smoothed-particle hydrodynamics based wind representation S Hess, L Lin, R Sampath, S Prescott, C Smith Idaho National Laboratory, 2016 | 5 | 2016 |
