Cosmin Safta, Ph.D.
Affiliations: | 2004 | State University of New York, Buffalo, Buffalo, NY, United States |
Area:
Mechanical Engineering, Aerospace EngineeringGoogle:
"Cosmin Safta"Parents
Sign in to add mentor| Cyrus K. Madnia | grad student | 2004 | SUNY Buffalo | |
| (Interaction of a vortex ring with a non-premixed methane flame.) | ||||
BETA: Related publications
See more...
Publications
|
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
| Buras ZJ, Safta C, Zádor J, et al. (2020) Simulated production of OH, HO2, CH2O, and CO2 during dilute fuel oxidation can predict 1st-stage ignition delays Combustion and Flame. 216: 472-484 |
| Soize C, Ghanem R, Safta C, et al. (2019) Enhancing Model Predictability for a Scramjet Using Probabilistic Learning on Manifolds Aiaa Journal. 57: 365-378 |
| Lucchesi M, Alzahrani HH, Safta C, et al. (2019) A hybrid, non-split, stiff/RKC, solver for advection–diffusion–reaction equations and its application to low-Mach number combustion Combustion Theory and Modelling. 23: 935-955 |
| Ghanem RG, Soize C, Safta C, et al. (2019) Design optimization of a scramjet under uncertainty using probabilistic learning on manifolds Journal of Computational Physics. 399: 108930 |
| Soize C, Ghanem RG, Safta C, et al. (2019) Entropy-based closure for probabilistic learning on manifolds Journal of Computational Physics. 388: 518-533 |
| Tsilifis P, Huan X, Safta C, et al. (2019) Compressive sensing adaptation for polynomial chaos expansions Journal of Computational Physics. 380: 29-47 |
| Vohra M, Alexanderian A, Safta C, et al. (2019) Sensitivity-Driven Adaptive Construction of Reduced-space Surrogates Journal of Scientific Computing. 79: 1335-1359 |
| Huan X, Safta C, Sargsyan K, et al. (2018) Global Sensitivity Analysis and Estimation of Model Error, Toward Uncertainty Quantification in Scramjet Computations Aiaa Journal. 56: 1170-1184 |
| Chowdhary K, Safta C, Najm HN. (2018) Enhancing statistical moment calculations for stochastic Galerkin solutions with Monte Carlo techniques Journal of Computational Physics. 374: 1017-1030 |
| Lu D, Ricciuto D, Walker A, et al. (2017) Bayesian calibration of terrestrial ecosystem models: a study of advanced Markov chain Monte Carlo methods Biogeosciences. 14: 4295-4314 |