| Honeycomb core sandwich panels for origami-inspired deployable shelters: Multi-objective optimization for minimum weight and maximum energy efficiency FJ Martínez-Martín, AP Thrall Engineering Structures 69, 158-167, 2014 | 103 | 2014 |
| Effects of combustion heat release on velocity and scalar statistics in turbulent premixed jet flames at low and high Karlovitz numbers JF MacArt, T Grenga, ME Mueller Combustion and Flame 191, 468-485, 2018 | 68 | 2018 |
| Dynamical system analysis of ignition phenomena using the tangential stretching rate concept M Valorani, S Paolucci, E Martelli, T Grenga, PP Ciottoli Combustion and Flame 162 (8), 2963-2990, 2015 | 63 | 2015 |
| WAMR: An adaptive wavelet method for the simulation of compressible reacting flow. Part I. Accuracy and efficiency of algorithm S Paolucci, ZJ Zikoski, D Wirasaet Journal of Computational Physics 272, 814-841, 2014 | 55 | 2014 |
| WAMR: An adaptive wavelet method for the simulation of compressible reacting flow. Part II. The parallel algorithm S Paolucci, ZJ Zikoski, T Grenga Journal of Computational Physics 272, 842-864, 2014 | 37 | 2014 |
| Enhancements of the G-scheme framework M Valorani, PP Ciottoli, R Malpica Galassi, S Paolucci, T Grenga, ... Flow, Turbulence and Combustion 101, 1023-1033, 2018 | 32 | 2018 |
| Dynamic mode decomposition of a direct numerical simulation of a turbulent premixed planar jet flame: convergence of the modes T Grenga, JF MacArt, ME Mueller Combustion Theory and Modelling 22 (4), 795-811, 2018 | 28 | 2018 |
| Evolution of flame-conditioned velocity statistics in turbulent premixed jet flames at low and high Karlovitz numbers JF MacArt, T Grenga, ME Mueller Proceedings of the Combustion Institute 37 (2), 2503-2510, 2019 | 27 | 2019 |
| Effects of differential diffusion on hydrogen flame kernel development under engine conditions H Chu, L Berger, T Grenga, Z Wu, H Pitsch Proceedings of the Combustion Institute 39 (2), 2129-2138, 2023 | 26 | 2023 |
| Investigation of the generalization capability of a generative adversarial network for large eddy simulation of turbulent premixed reacting flows L Nista, CDK Schumann, T Grenga, A Attili, H Pitsch Proceedings of the Combustion Institute 39 (4), 5279-5288, 2023 | 24 | 2023 |
| Numerical modeling of single droplet flash boiling behavior of e-fuels considering internal and external vaporization A Saha, T Grenga, AY Deshmukh, J Hinrichs, M Bode, H Pitsch Fuel 308, 121934, 2022 | 22 | 2022 |
| Computational singular perturbation method and tangential stretching rate analysis of large scale simulations of reactive flows: Feature tracking, time scale characterization … M Valorani, F Creta, PP Ciottoli, R Malpica Galassi, DA Goussis, HN Najm, ... Data analysis for direct numerical simulations of turbulent combustion: From …, 2020 | 18 | 2020 |
| Sensitivity analysis and mechanism simplification using the G-Scheme framework T Grenga, S Paolucci, M Valorani Combustion and Flame 189, 275-287, 2018 | 18 | 2018 |
| Effects of turbulence on variations in early development of hydrogen and iso-octane flame kernels under engine conditions H Chu, L Berger, T Grenga, M Gauding, L Cai, H Pitsch Combustion and Flame 255, 112914, 2023 | 11 | 2023 |
| Large eddy simulation of iron oxide formation in a laboratory spray flame F Fröde, T Grenga, S Dupont, R Kneer, R Tischendorf, O Massopo, ... Applications in Energy and Combustion Science 16, 100191, 2023 | 9 | 2023 |
| Predictive data-driven model based on generative adversarial network for premixed turbulence-combustion regimes T Grenga, L Nista, C Schumann, AN Karimi, G Scialabba, A Attili, H Pitsch Combustion Science and Technology 195 (15), 3923-3946, 2023 | 9 | 2023 |
| The influence of adversarial training on turbulence closure modeling L Nista, CKD Schumann, G Scialabba, T Grenga, A Attili, H Pitsch AIAA SCITECH 2022 Forum, 0185, 2022 | 9 | 2022 |
| Comparative analysis of methods for heat losses in turbulent premixed flames using physically-derived reduced-order manifolds AC Nunno, T Grenga, ME Mueller Combustion Theory and Modelling 23 (1), 42-66, 2019 | 9 | 2019 |
| Influence of adversarial training on super-resolution turbulence reconstruction L Nista, H Pitsch, CDK Schumann, M Bode, T Grenga, JF MacArt, A Attili Physical Review Fluids 9 (6), 064601, 2024 | 8 | 2024 |
| A three-dimensional cell-based volume-of-fluid method for conservative simulations of primary atomization F Fröde, T Grenga, V Le Chenadec, M Bode, H Pitsch Journal of Computational Physics 465, 111374, 2022 | 7 | 2022 |
Mauro ValoraniUniversity of Rome Sapienza Email yang diverifikasi di uniroma1.it
