| Calcia–magnesia–alumina–silicate (CMAS) attack mechanisms and roadmap towards Sandphobic thermal and environmental barrier coatings A Nieto, R Agrawal, L Bravo, C Hofmeister-Mock, M Pepi International Materials Review 65 (8), 1-42, 2020 | 63 | 2020 |
| Large-eddy simulations of transcritical injection and auto-ignition using diffuse-interface method and finite-rate chemistry PC Ma, H Wu, T Jaravel, L Bravo, M Ihme Proceedings of the Combustion Institute 37 (3), 3303-3310, 2019 | 53 | 2019 |
| A review on liquid spray models for diesel engine computational analysis L Bravo, CB Kweon US Army Research Laboratory, Aberdeen Proving Ground, United States, 2014 | 50 | 2014 |
| Virtual and augmented reality applications to support data analysis and assessment of science and engineering S Su, V Perry, L Bravo, S Kase, H Roy, K Cox, VR Dasari Computing in Science & Engineering 22 (3), 27-39, 2020 | 41 | 2020 |
| Review of oxidation of gasoline surrogates and its components JA Piehl, A Zyada, L Bravo, O Samimi-Abianeh Journal of Combustion 2018 (1), 8406754, 2018 | 39 | 2018 |
| Supercritical and transcritical real-fluid mixing in diesel engine applications P Ma, L Bravo, M Ihme Center for Turbulence Research, Stanford University 15 (Proceedings of the …, 2014 | 35 | 2014 |
| Analytical study of articulating turbine rotor blade concept for improved off-design performance of gas turbine engines M Murugan, A Ghoshal, F Xu, MC Hsu, Y Bazilevs, L Bravo, K Kerner Journal of Engineering for Gas Turbines and Power 139 (10), 102601, 2017 | 32 | 2017 |
| Microstructure based material-sand particulate interactions and assessment of coatings for high temperature turbine blades M Murugan, A Ghoshal, M Walock, A Nieto, L Bravo, B Barnett, M Pepi, ... Turbo Expo: Power for Land, Sea, and Air 50817, V02DT48A009, 2017 | 30 | 2017 |
| WENO interpolation for Lagrangian particles in highly compressible flow regimes Y Kozak, SS Dammati, LG Bravo, PE Hamlington, AY Poludnenko Journal of Computational Physics 402, 109054, 2020 | 28 | 2020 |
| High-fidelity finite element modeling and analysis of adaptive gas turbine stator–rotor flow interaction at off-design conditions N Kozak, F Xu, M Rajanna, L Bravo, M Murugan, A Ghoshal, Y Bazilev, ... Journal of Mechanics 36 (1), 2020 | 28 | 2020 |
| High-fidelity simulation of atomization in diesel engine sprays L Bravo, C Ivey, S Kim, Dokyun, Bose Center for Turbulence Research, Stanford University 15 (Proceedings of the …, 2014 | 27 | 2014 |
| Large eddy simulation of high reynolds number nonreacting and reacting JP-8 sprays in a constant pressure flow vessel with a detailed chemistry approach LG Bravo, S Wijeyakulasuriya, E Pomraning, PK Senecal, CB Kweon Journal of Energy Resources Technology, 2016 | 26 | 2016 |
| Large eddy simulations of diesel-fuel injection and auto-ignition at transcritical conditions M Ihme, PC Ma, L Bravo International Journal of Engine Research 20 (1), 58-68, 2019 | 25 | 2019 |
| Optimizing gas turbine performance using the surrogate management framework and high-fidelity flow modeling N Kozak, MR Rajanna, MCH Wu, M Murugan, L Bravo, A Ghoshal, ... Energies 13 (17), 4283, 2020 | 24 | 2020 |
| Computational study of atomization and fuel drop size distributions in high-speed primary breakup L Bravo, D Kim, F Ham, S Su Atomization and Sprays 28 (4), 321-344, 2018 | 23 | 2018 |
| High Fidelity Simulation of Drop Collision and Vapor-liquid Equilibrium of Van Der Waals Fluids M Ray, X Yanga, SC Konga, L Bravo, CB Kweon Proceedings of the Combustion Institute 36 (2), pp 2385-239, 2016 | 23 | 2016 |
| Experimental and numerical studies on combustion model selection for split injection spray combustion AA Moiz, S Som, L Bravo, SY Lee SAE Technical Paper, 2015 | 23 | 2015 |
| Adaptable articulating axial-flow compressor/turbine rotor blade M Murugan, A Ghoshal, L Bravo US Patent 11,073,160, 2021 | 21 | 2021 |
| Effects of fuel viscosity on the primary breakup dynamics of a high-speed liquid jet with comparison to X-ray radiography L Bravo, D Kim, F Ham, C Powell, A Kastengren Proceedings of the Combustion Institute 37 (3), 3245-3253, 2019 | 21 | 2019 |
| Deep neural operators can serve as accurate surrogates for shape optimization: a case study for airfoils K Shukla, V Oommen, A Peyvan, M Penwarden, L Bravo, A Ghoshal, ... arXiv preprint arXiv:2302.00807, 2023 | 20 | 2023 |
Anindya GhoshalArmy Research LaboratoryVerified email at mail.mil
