| Emerging trends in numerical simulations of combustion systems V Raman, M Hassanaly Proceedings of the Combustion Institute 37 (2), 2073-2089, 2019 | 85 | 2019 |
| Large-eddy simulation of soot formation in a model gas turbine combustor H Koo, M Hassanaly, V Raman, ME Mueller, K Peter Geigle Journal of Engineering for Gas Turbines and Power 139 (3), 031503, 2017 | 64 | 2017 |
| A minimally-dissipative low-Mach number solver for complex reacting flows in OpenFOAM M Hassanaly, H Koo, CF Lietz, ST Chong, V Raman Computer and Fluids 162, 11-25, 2018 | 53 | 2018 |
| Large eddy simulation of pressure and dilution-jet effects on soot formation in a model aircraft swirl combustor ST Chong, M Hassanaly, H Koo, ME Mueller, V Raman, KP Geigle Combustion and Flame 192, 452-472, 2018 | 49 | 2018 |
| Using machine learning to construct velocity fields from OH-PLIF images S Barwey, M Hassanaly, V Raman, A Steinberg Combustion Science and Technology 194 (1), 93-116, 2022 | 38 | 2022 |
| Data-driven classification and modeling of combustion regimes in detonation waves S Barwey, S Prakash, M Hassanaly, V Raman Flow, Turbulence and Combustion 106, 1065-1089, 2021 | 36 | 2021 |
| Bi-fidelity modeling of uncertain and partially unknown systems using deeponets S De, M Reynolds, M Hassanaly, RN King, A Doostan arXiv preprint arXiv:2204.00997, 2022 | 32 | 2022 |
| A comprehensive modeling procedure for estimating statistical properties of forced ignition Y Tang, M Hassanaly, V Raman, B Sforzo, J Seitzman Combustion and Flame 206, 158-176, 2019 | 29 | 2019 |
| Ensemble-LES analysis of perturbation response of turbulent partially-premixed flames M Hassanaly, V Raman Proceedings of the Combustion Institute 37 (2), 2249-2257, 2019 | 27 | 2019 |
| Classification and computation of extreme events in turbulent combustion M Hassanaly, V Raman Progress in Energy and Combustion Science 87, 100955, 2021 | 26* | 2021 |
| Experimental data-based reduced-order model for analysis and prediction of flame transition in gas turbine combustors S Barwey, M Hassanaly, Q An, V Raman, A Steinberg Combustion Theory and Modelling 23 (6), 994-1020, 2019 | 23 | 2019 |
| Probabilistic modeling of forced ignition of alternative jet fuels Y Tang, M Hassanaly, V Raman, BA Sforzo, J Seitzman Proceedings of the Combustion Institute 38 (2), 2589-2596, 2021 | 22 | 2021 |
| Lyapunov spectrum of forced homogeneous isotropic turbulent flows M Hassanaly, V Raman Physical Review Fluids 4 (11), 114608, 2019 | 20 | 2019 |
| Simulation of gas turbine ignition using large eddy simulation approach Y Tang, M Hassanaly, V Raman, BA Sforzo, S Wei, JM Seitzman Turbo Expo: Power for Land, Sea, and Air 51067, V04BT04A007, 2018 | 20 | 2018 |
| Data-based analysis of multimodal partial cavity shedding dynamics S Barwey, H Ganesh, M Hassanaly, V Raman, S Ceccio Experiments in Fluids 61, 1-21, 2020 | 19 | 2020 |
| Adversarial sampling of unknown and high-dimensional conditional distributions M Hassanaly, A Glaws, K Stengel, RN King Journal of Computational Physics 450, 110853, 2022 | 16 | 2022 |
| LES of premixed flame flashback in a turbulent channel C Lietz, M Hassanaly, V Raman, H Kolla, J Chen, A Gruber 52nd Aerospace Sciences Meeting, 0824, 2014 | 14 | 2014 |
| Turbulent mixing and combustion of supercritical jets ST Chong, Y Tang, M Hassanaly, V Raman 55th AIAA Aerospace Sciences Meeting, 0141, 2017 | 13 | 2017 |
| Data-driven analysis of relight variability of jet fuels induced by turbulence M Hassanaly, Y Tang, S Barwey, V Raman Combustion and Flame 225, 453-467, 2021 | 12 | 2021 |
| Numerical convergence of the Lyapunov spectrum computed using low Mach number solvers M Hassanaly, V Raman Journal of Computational Physics 386, 467-485, 2019 | 12 | 2019 |
Venkat RamanProfessor, University of Michigan在 umich.edu 的电子邮件经过验证
