@article{wang_lin_dinh_2023, title={Data coverage assessment on neural network based digital twins for autonomous control system}, volume={182}, ISSN={["1873-2100"]}, DOI={10.1016/j.anucene.2022.109568}, journal={ANNALS OF NUCLEAR ENERGY}, author={Wang, Longcong and Lin, Linyu and Dinh, Nam}, year={2023}, month={Mar} }
 @article{lin_athe_rouxelin_avramova_gupta_youngblood_lane_dinh_2022, title={Digital-twin-based improvements to diagnosis, prognosis, strategy assessment, and discrepancy checking in a nearly autonomous management and control system}, volume={166}, ISSN={["1873-2100"]}, DOI={10.1016/j.anucene.2021.108715}, journal={ANNALS OF NUCLEAR ENERGY}, author={Lin, Linyu and Athe, Paridhi and Rouxelin, Pascal and Avramova, Maria and Gupta, Abhinav and Youngblood, Robert and Lane, Jeffrey and Dinh, Nam}, year={2022}, month={Feb} }
 @article{lee_lin_athe_dinh_2021, title={Development of the Machine Learning-based Safety Significant Factor Inference Model for Diagnosis in Autonomous Control System}, volume={162}, ISSN={["1873-2100"]}, DOI={10.1016/j.anucene.2021.108443}, journal={ANNALS OF NUCLEAR ENERGY}, author={Lee, Joomyung and Lin, Linyu and Athe, Paridhi and Dinh, Nam}, year={2021}, month={Nov} }
 @article{lin_lee_poudel_mcjunkin_dinh_agarwal_2021, title={Enhancing the Operational Resilience of Advanced Reactors with Digital Twins by Recurrent Neural Networks}, DOI={10.1109/RWS52686.2021.9611796}, journal={2021 RESILIENCE WEEK (RWS)}, author={Lin, Linyu and Lee, Joomyung and Poudel, Bikash and McJunkin, Timothy and Dinh, Nam and Agarwal, Vivek}, year={2021} }
 @misc{lin_bao_dinh_2021, title={Uncertainty quantification and software risk analysis for digital twins in the nearly autonomous management and control systems: A review}, volume={160}, ISSN={["1873-2100"]}, DOI={10.1016/j.anucene.2021.108362}, journal={ANNALS OF NUCLEAR ENERGY}, author={Lin, Linyu and Bao, Han and Dinh, Nam}, year={2021}, month={Sep} }