Прати
Changhong Mou
Changhong Mou
Department of Mathematics, Purdue University
Верификована је имејл адреса на purdue.edu - Почетна страница
Наслов
Навело
Навело
Година
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
742021
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
542021
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
422020
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
292020
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
172019
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
162022
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
152023
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
142022
Lagrangian reduced order modeling using finite time Lyapunov exponents
X Xie, PJ Nolan, SD Ross, C Mou, T Iliescu
Fluids 5 (4), 189, 2020
122020
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
82023
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
7*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
52023
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
32021
A stochastic precipitating quasi-geostrophic model
N Chen, C Mou, LM Smith, Y Zhang
Physics of Fluids 36 (11), 2024
22024
Data-Driven Variational Multiscale Reduced Order Modeling of Turbulent Flows
C Mou
Virginia Tech, 2021
22021
Cross-validation of data-driven correction reduced order modeling
C Mou
Virginia Tech, 2018
22018
Stochastic data-driven variational multiscale reduced order models
F Lu, C Mou, H Liu, T Iliescu
arXiv preprint arXiv:2209.02739, 2022
12022
Cloud Effects on Sea-Ice-Floe Data Assimilation in Idealized Models
C Mou, N Chen, SN Stechmann
AGU24, 2024
2024
Simulation and Data Assimilation in an Idealized Coupled Atmosphere-Ocean-Sea Ice Floe Model with Cloud Effects
C Mou, SN Stechmann, N Chen
Nonlinear Processes in Geophysics Discussions 2024, 1-38, 2024
2024
Data-Driven Reduced Order Modeling of the Quasi-Geostrophic Equations
T Iliescu, C Mou
AGU23, 2023
2023
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Чланци 1–20