| Estimating RANS model uncertainty using machine learning JF Heyse, AA Mishra, G Iaccarino Journal of the Global Power and Propulsion Society 2021 (May), 1-14, 2021 | 37 | 2021 |
| Influence of the injector geometry on primary breakup in diesel injector systems M Bode, F Diewald, DO Broll, JF Heyse, V Le Chenadec, H Pitsch SAE Technical Paper, 2014 | 33 | 2014 |
| Data Driven & Physics Constrained Perturbations For Turbulence Model Uncertainty Estimation JF Heyse, AA Mishra, G Iaccarino | 10 | 2021 |
| Geometry encoding for numerical simulations A Maleki, J Heyse, R Ranade, H He, P Kasimbeg, J Pathak arXiv preprint arXiv:2104.07792, 2021 | 4 | 2021 |
| Estimated aleatoric uncertainty from initial and inlet conditions for variable density mixing JF Heyse, Z Huang, G Iaccarino arXiv preprint arXiv:1912.12560, 2019 | 1 | 2019 |
| End-to-end Driving Controls Predictions from Images JF Heyse, M Bouton CS229, Final Report, 2016 | 1 | 2016 |
| Data-driven and Physics-constrained Uncertainty Quantification for Turbulence Models JF Heyse Stanford University, 2022 | | 2022 |
| Exploring Machine Learning Strategies for RANS Uncertainty Quantification N Kozak, J Heyse, AA Mishra, G Iaccarino APS Division of Fluid Dynamics Meeting Abstracts, T02. 007, 2021 | | 2021 |
| Data-driven Eigenspace Perturbations for RANS Uncertainty Quantification J Heyse, N Kozak, A Mishra, G Iaccarino APS Division of Fluid Dynamics Meeting Abstracts, T02. 005, 2021 | | 2021 |
| Quantifying the uncertainties of density self-correlation in RANS simulations for variable density flows JF Heyse, Z Huang, A Mishra, G Iaccarino, TC Wallstrom, D Sharp APS Division of Fluid Dynamics Meeting Abstracts, R10. 005, 2020 | | 2020 |
| Uncertainty quantification for RANS simulations of variable density flows A Mishra, Z Huang, J Heyse, G Iaccarino, T Clarke Wallstrom, D Sharp APS Division of Fluid Dynamics Meeting Abstracts, H41. 004, 2019 | | 2019 |
| Simulation of cell membrane poration by single bubble acoustic cavitation J Heyse, S Bose, G Iaccarino Bulletin of the American Physical Society 63, 2018 | | 2018 |
| Modeling Encapsulated Microbubble Dynamics at High Pressure Amplitudes JF Heyse, S Bose, G Iaccarino APS Division of Fluid Dynamics Meeting Abstracts, M7. 005, 2017 | | 2017 |
| Statistical Inference of a RANS closure for a Jet-in-Crossflow simulation J Heyse, W Edeling, G Iaccarino APS Division of Fluid Dynamics Meeting Abstracts, KP1. 028, 2016 | | 2016 |
| Tiny ImageNet Challenge Investigating the Scaling of Inception Layers for Reduced Scale Classification Problems ES Boigné, JF Heyse | | |
