Machine learning for nonintrusive model order reduction of the parametric inviscid transonic flow past an airfoil SA Renganathan, R Maulik, V Rao
Physics of Fluids 32 (4), 2020
84 2020 Machine learning based algorithms for uncertainty quantification in numerical weather prediction models A Moosavi, V Rao, A Sandu
Journal of Computational Science 50, 101295, 2021
56 2021 A time-parallel approach to strong-constraint four-dimensional variational data assimilation V Rao, A Sandu
Journal of Computational Physics 313, 583-593, 2016
33 2016 A-posteriori error estimates for inverse problems V Rao, A Sandu
arXiv preprint arXiv:1409.7129, 2014
33 * 2014 A posteriori error estimates for the solution of variational inverse problems V Rao, A Sandu
SIAM/ASA Journal on Uncertainty Quantification 3 (1), 737-761, 2015
26 2015 A posteriori error estimates for the solution of variational inverse problems V Rao, A Sandu
SIAM/ASA Journal on Uncertainty Quantification 3 (1), 737-761, 2015
26 2015 Efficient high-dimensional variational data assimilation with machine-learned reduced-order models R Maulik, V Rao, J Wang, G Mengaldo, E Constantinescu, B Lusch, ...
Geoscientific Model Development 15 (8), 3433-3445, 2022
25 2022 A Hybrid Monte‐Carlo sampling smoother for four‐dimensional data assimilation A Attia, V Rao, A Sandu
International Journal for Numerical Methods in Fluids 83 (1), 90-112, 2017
25 2017 A posteriori error estimates for DDDAS inference problems V Rao, A Sandu
Procedia Computer Science 29, 1256-1265, 2014
25 2014 Optimization under rare chance constraints S Tong, A Subramanyam, V Rao
SIAM Journal on Optimization 32 (2), 930-958, 2022
23 2022 Robust Data Assimilation Using V Rao, A Sandu, M Ng, ED Nino-Ruiz
SIAM Journal on Scientific Computing 39 (3), B548-B570, 2017
22 2017 Dynamic security constrained optimal power flow using finite difference sensitivities S Abhyankar, V Rao, M Anitescu
2014 IEEE PES General Meeting| Conference & Exposition, 1-5, 2014
22 2014 A parallel workflow implementation for PEST version 13.6 in high-performance computing for WRF-Hydro version 5.0: A case study over the midwestern United States J Wang, C Wang, V Rao, A Orr, E Yan, R Kotamarthi
Geoscientific Model Development 12 (8), 3523-3539, 2019
20 2019 A sampling approach for four dimensional data assimilation A Attia, V Rao, A Sandu
International Conference on Dynamic Data-Driven Environmental Systems …, 2014
17 2014 Order-Disorder Transitions in P Upreti, M Krogstad, C Haley, M Anitescu, V Rao, L Poudel, ...
Physical Review Letters 128 (9), 095701, 2022
16 2022 Scalable matrix-free adaptive product-convolution approximation for locally translation-invariant operators N Alger, V Rao, A Myers, T Bui-Thanh, O Ghattas
SIAM Journal on Scientific Computing 41 (4), A2296-A2328, 2019
15 2019 An adjoint-based scalable algorithm for time-parallel integration V Rao, A Sandu
Journal of Computational Science 5 (2), 76-84, 2014
15 2014 CAMERA: A method for cost-aware, adaptive, multifidelity, efficient reliability analysis SA Renganathan, V Rao, IM Navon
Journal of Computational Physics 472, 111698, 2023
14 2023 Dynamic sensor network configuration in infosymbiotic systems using model singular vectors A Sandu, A Cioaca, V Rao
Procedia Computer Science 18, 1909-1918, 2013
10 2013 AIEADA 1.0: Efficient high-dimensional variational data assimilation with machine-learned reduced-order models R Maulik, V Rao, J Wang, G Mengaldo, E Constantinescu, B Lusch, ...
Geoscientific Model Development Discussions 2022, 1-20, 2022
9 2022 
Adrian SanduProfessor of Computer Science, Virginia Techبريد إلكتروني تم التحقق منه على cs.vt.edu