| Conditional moment closure modelling for dual-fuel combustion engines with pilot-assisted compression ignition BS Soriano, ES Richardson, S Schlatter, YM Wright SAE Technical Paper, 2017 | 13 | 2017 |
| Investigation of flame propagation in autoignitive blends of n-heptane and methane fuel BS Soriano, ES Richardson Combustion Theory and Modelling 23 (6), 1054-1070, 2019 | 8 | 2019 |
| Numerical study of an internal combustion engine intake process using a low Mach number preconditioned density-based method with experimental comparison CEG Falcão, BS Soriano, C Rech, HA Vielmo Proceedings of the Institution of Mechanical Engineers, Part D: Journal of …, 2015 | 5 | 2015 |
| PELE-Transforming Combustion Science and Technology with Exascale Simulations J Chen, M Day, R Sankaran, S Klippenstein, M Arienti, ... National Renewable Energy Lab.(NREL), Golden, CO (United States), 2023 | 2 | 2023 |
| Theory and modelling of dual-fuel combustion BS Soriano University of Southampton, 2019 | 2 | 2019 |
| Low Cost Transient Discharge Coefficient Measure System B Soriano, C Rech 21th International Congress of Mechanical Engineering, Natal–RN, Proceedings …, 2011 | 2 | 2011 |
| PeleMP: The Multiphysics Solver for the Combustion Pele Adaptive Mesh Refinement Code Suite LD Owen, W Ge, M Rieth, M Arienti, L Esclapez, BS Soriano, ME Mueller, ... Journal of Fluids Engineering 146 (4), 041103, 2024 | 1 | 2024 |
| NH Imaging in Premixed Ammonia/Hydrogen Flames Using Femtosecond Laser-Induced Fluorescence AP Hardaya, MK Hay, B S. Soriano, J Chen, WD Kulatilaka AIAA SCITECH 2024 Forum, 2020, 2024 | 1 | 2024 |
| Analysis and modelling of flame speed in autoignitive mixtures of n-heptane and methane B Soriano, E Richardson Fuel, 2018 | 1 | 2018 |
| Efficiency benefits of flexible cylinder deactivation using a novel intake valve system ES Richardson, BS Soriano, M Middleton, M Gill | 1 | 2017 |
| Conditional moment closure and G-equation hybrid modelling For dual-fuel methane/N-heptane combustion E Richardson, B Soriano, Y Wright, S Schlatter | 1 | 2017 |
| Análise numérica transiente com validação experimental do escoamento em motores de combustão interna considerando diferentes aberturas de válvula BS Soriano | 1 | 2015 |
| Simulação numérica com validação experimental do coeficiente de descarga em motor de combustão interna BS Soriano, C Rech XVIII SALÃO DE INICIAÇÃO CIENTÍFICA E TECNOLÓGICA, 2012 | 1 | 2012 |
| Probabilistic transfer learning methodology to expedite high fidelity simulation of reactive flows BS Soriano, KS Jung, T Echekki, JH Chen, M Khalil arXiv preprint arXiv:2405.10944, 2024 | | 2024 |
| DNS of flame stabilization dynamics of a swirl-stabilized spray burner using sustainable aviation fuels B S. Soriano, L Owen, L Esclapez, J Chen AIAA SCITECH 2024 Forum, 1999, 2024 | | 2024 |
| A Hessian-based transfer learning approach for artificial neural networks based chemical kinetics with a sparse dataset KS Jung, BS Soriano, JH Chen, M Khalil Proceedings of the Combustion Institute 40 (1-4), 105390, 2024 | | 2024 |
| Heat release surrogates for NH3/H2/N2–air premixed flames AP Hardaya, WD Kulatilaka, BS Soriano, JH Chen Proceedings of the Combustion Institute 40 (1-4), 105432, 2024 | | 2024 |
| Evaluating generalizability of a deep learning model for the instantaneous conditional dissipation rate profiles in multi-modal turbulent combustion CE Lacey, B Soriano, M Rieth, M Mueller, J Chen Bulletin of the American Physical Society, 2023 | | 2023 |
| Crosscut ECP Integration (Pele, ExaLearn, ALPINE). JS Salinas, B Souza Soriano, M Rieth, J Chen, H Kolla, M Arienti, ... Sandia National Lab.(SNL-CA), Livermore, CA (United States), 2022 | | 2022 |
| Coupling of Novel Probabilistic Transfer Learning Strategies and Autoencoders to Expedite Turbulent Combustion Modeling. B Souza Soriano, Y Shimizu, M Rieth, M Khalil, J Chen, T Echekki Sandia National Lab.(SNL-CA), Livermore, CA (United States); Sandia National …, 2022 | | 2022 |
