| Data-driven variational multiscale reduced order models C Mou, B Koc, O San, LG Rebholz, T Iliescu Computer Methods in Applied Mechanics and Engineering 373, 113470, 2021 | 67 | 2021 |
| A multifidelity ensemble Kalman filter with reduced order control variates AA Popov, C Mou, A Sandu, T Iliescu SIAM Journal on Scientific Computing 43 (2), A1134-A1162, 2021 | 50 | 2021 |
| Data-driven correction reduced order models for the quasi-geostrophic equations: A numerical investigation C Mou, H Liu, DR Wells, T Iliescu International Journal of Computational Fluid Dynamics 34 (2), 147-159, 2020 | 41 | 2020 |
| Reduced order models for the quasi-geostrophic equations: A brief survey C Mou, Z Wang, DR Wells, X Xie, T Iliescu Fluids 6 (1), 16, 2020 | 25 | 2020 |
| Verifiability of the data-driven variational multiscale reduced order model B Koc, C Mou, H Liu, Z Wang, G Rozza, T Iliescu Journal of Scientific Computing 93 (2), 54, 2022 | 15 | 2022 |
| Commutation error in reduced order modeling of fluid flows B Koc, M Mohebujjaman, C Mou, T Iliescu Advances in Computational Mathematics 45, 2587-2621, 2019 | 15 | 2019 |
| Reduced order model closures: A brief tutorial W Snyder, C Mou, H Liu, O San, R DeVita, T Iliescu Recent Advances in Mechanics and Fluid-Structure Interaction with …, 2022 | 11 | 2022 |
| Lagrangian reduced order modeling using finite time Lyapunov exponents X Xie, PJ Nolan, SD Ross, C Mou, T Iliescu Fluids 5 (4), 189, 2020 | 11 | 2020 |
| An energy-based lengthscale for reduced order models of turbulent flows C Mou, E Merzari, O San, T Iliescu Nuclear Engineering and Design 412, 112454, 2023 | 10 | 2023 |
| An efficient data-driven multiscale stochastic reduced order modeling framework for complex systems C Mou, N Chen, T Iliescu Journal of Computational Physics 493, 112450, 2023 | 6* | 2023 |
| Combining stochastic parameterized reduced‐order models with machine learning for data assimilation and uncertainty quantification with partial observations C Mou, LM Smith, N Chen Journal of Advances in Modeling Earth Systems 15 (10), e2022MS003597, 2023 | 5 | 2023 |
| Data‐driven variational multiscale reduced order modeling of vaginal tissue inflation W Snyder, JA McGuire, C Mou, DA Dillard, T Iliescu, R De Vita International Journal for Numerical Methods in Biomedical Engineering 39 (1 …, 2023 | 4 | 2023 |
| A numerical investigation of the lengthscale in the mixing-length reduced order model of the turbulent channel flow C Mou, E Merzari, O San, T Iliescu arXiv preprint arXiv:2108.02254, 2021 | 3 | 2021 |
| Data-Driven Variational Multiscale Reduced Order Modeling of Turbulent Flows C Mou Virginia Tech, 2021 | 2 | 2021 |
| Cross-validation of data-driven correction reduced order modeling C Mou Virginia Tech, 2018 | 2 | 2018 |
| Stochastic data-driven variational multiscale reduced order models F Lu, C Mou, H Liu, T Iliescu arXiv preprint arXiv:2209.02739, 2022 | 1 | 2022 |
| Simulation and Data Assimilation in an Idealized Coupled Atmosphere-Ocean-Sea Ice Floe Model with Cloud Effects C Mou, SN Stechmann, N Chen arXiv preprint arXiv:2410.23138, 2024 | | 2024 |
| A Stochastic Precipitating Quasi-Geostrophic Model N Chen, C Mou, LM Smith, Y Zhang arXiv preprint arXiv:2407.20886, 2024 | | 2024 |
| Data-Driven Reduced Order Modeling of the Quasi-Geostrophic Equations T Iliescu, C Mou AGU23, 2023 | | 2023 |
| A Hybrid Nonlinear Data Assimilation Method for Complex Fluid Systems with Partial Observations, with Applications to Precipitating Quasi-geostrophic Equations C Mou, LM Smith, N Chen AGU Fall Meeting Abstracts 2022, NG35B-0455, 2022 | | 2022 |
Traian IliescuProfessor of Mathematics, Virginia Tech在 vt.edu 的电子邮件经过验证
