Changhong Mou

Hivatkozott rá

	Összes	2019 óta
Hivatkozások	236	233
h-index	8	8
i10-index	8	8

20182019202020212022202320242 3 21 53 64 73 19

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Traian IliescuProfessor of Mathematics, Virginia TechE-mail megerősítve itt: vt.edu
Honghu LiuAssociate Professor of Mathematics, Virginia TechE-mail megerősítve itt: vt.edu
Omer SanAssociate Professor, Mechanical, Aerospace, and Biomedical Engineering, University of TennesseeE-mail megerősítve itt: utk.edu
Birgul KocUniversity of SevilleE-mail megerősítve itt: us.es
Adrian SanduProfessor of Computer Science, Virginia TechE-mail megerősítve itt: cs.vt.edu
Leo RebholzDean's Distinguished Professor of Mathematical Sciences, Clemson UniversityE-mail megerősítve itt: clemson.edu
Andrey A. PopovPostdoc, Oden Institute for Computational Engineering and Sciences, UT AustinE-mail megerősítve itt: utexas.edu
Nan ChenAssistant Professor of Mathematics, University of Wisconsin-MadisonE-mail megerősítve itt: math.wisc.edu
Elia MerzariPennsylvania State University, Argonne National LaboratoryE-mail megerősítve itt: anl.gov
Muhammad MohebujjamanAssistant Professor, University of Alabama at BirminghamE-mail megerősítve itt: uab.edu
Zhu WangUniversity of South CarolinaE-mail megerősítve itt: math.sc.edu
Gianluigi RozzaFull Professor of Numerical Analysis, SISSA, Int. School for Adv. Studies, Italy and ERC PIE-mail megerősítve itt: sissa.it
Shane RossVirginia Tech, Professor of Aerospace and Ocean EngineeringE-mail megerősítve itt: vt.edu
Raffaella De VitaProfessor, Virginia TechE-mail megerősítve itt: vt.edu
Fei LuJohns Hopkins UniversityE-mail megerősítve itt: math.jhu.edu

Követés

Changhong Mou

Department of Mathematics, University of Wisconsin-Madison

E-mail megerősítve itt: math.wisc.edu - Kezdőlap

Reduced Order Modeling Stochastic Modeling Data Assimilation Turbulence Computational Mathematics


Cím Rendezés hivatkozások szerint Rendezés év szerint Rendezés cím szerint	Hivatkozott rá Hivatkozott rá	Év
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	58	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	47	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	39	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	22	2020
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	14	2019
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	11	2022
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	10	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	10	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	7	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	4*	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
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	2	2023
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
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
A Two-Level Galerkin Reduced Order Model for the Steady Navier-Stokes Equations D Park, C Mou, H Liu, A Sandu, T Iliescu arXiv preprint arXiv:2211.12968, 2022		2022
Data-Driven Variational Multiscale Reduced Order Models for the Quasi-Geostrophic Equations C Mou, T Iliescu, H Liu, D Wells AGU Fall Meeting Abstracts 2021, NG15A-0418, 2021		2021
Combining a Stochastic Parameterized Filter with Machine Learning to Assimilate Complex Turbulent Systems Using Partial Observations N Chen, C Mou, L Smith 2022 Fall Western Sectional Meeting, 0

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