Funder
Ministry of Science, ICT and Future Planning
National Research Foundation of Korea
Korea Ministry of Science and ICT
Reference69 articles.
1. Michael G. Kapteyn, David J. Knezevic, Karen Willcox, Toward predictive digital twins via component-based reduced-order models and interpretable machine learning, in: AIAA Scitech 2020 Forum, 2020, p. 0418.
2. Digital twin: Values, challenges and enablers from a modeling perspective;Rasheed;IEEE Access,2020
3. The transformative potential of machine learning for experiments in fluid mechanics;Vinuesa;Nat. Rev. Phys.,2023
4. Digital twin: Benefits, use cases, challenges, and opportunities;Attaran;Decis. Anal. J.,2023
5. Digital twin in industry: State-of-the-art;Tao;IEEE Trans. Ind. Inform.,2019