| A machine learning approach for determining the turbulent diffusivity in film cooling flows PM Milani, J Ling, G Saez-Mischlich, J Bodart, JK Eaton Journal of Turbomachinery 140 (2), 021006, 2018 | 95 | 2018 |
| Physical interpretation of machine learning models applied to film cooling flows PM Milani, J Ling, JK Eaton Journal of Turbomachinery 141 (1), 011004, 2019 | 50 | 2019 |
| Turbulent scalar flux in inclined jets in crossflow: counter gradient transport and deep learning modelling PM Milani, J Ling, JK Eaton Journal of Fluid Mechanics 906, A27, 2021 | 49 | 2021 |
| Generalization of machine-learned turbulent heat flux models applied to film cooling flows PM Milani, J Ling, JK Eaton Journal of Turbomachinery 142 (1), 011007, 2020 | 26 | 2020 |
| Enriching MRI mean flow data of inclined jets in crossflow with large eddy simulations PM Milani, IE Gunady, DS Ching, AJ Banko, CJ Elkins, JK Eaton International Journal of Heat and Fluid Flow 80, 108472, 2019 | 20 | 2019 |
| Shear layer of inclined jets in crossflow studied with spectral proper orthogonal decomposition and spectral transfer entropy PM Milani, DS Ching, AJ Banko, JK Eaton International Journal of Heat and Mass Transfer 147, 118972, 2020 | 15 | 2020 |
| Assessing wall-modeled large-eddy simulation for low-speed flows with heat transfer HHA Xu, XIA Yang, PM Milani AIAA Journal 59 (6), 2060-2069, 2021 | 13 | 2021 |
| On the generality of tensor basis neural networks for turbulent scalar flux modeling PM Milani, J Ling, JK Eaton International Communications in Heat and Mass Transfer 128, 105626, 2021 | 12 | 2021 |
| Velocity and concentration field measurements and large eddy simulation of a shaped film cooling hole IE Gunady, PM Milani, AJ Banko, CJ Elkins, JK Eaton International Journal of Heat and Fluid Flow 90, 108837, 2021 | 10 | 2021 |
| Magnetic Resonance Imaging, Optimization, and Machine Learning to Understand and Model Turbulent Mixing PM Milani, JK Eaton 21st Australasian Fluid Mechanics Conference, 2018 | 7 | 2018 |
| Machine learning modeling for RANS turbulent kinetic energy transport in 3D separated flows DS Ching, AJ Banko, PM Milani, JK Eaton Proceedings of the 11th International Symposium on Turbulence and Shear Flow …, 2019 | 6 | 2019 |
| The Discrete Green's Function for Convective Heat Transfer—Part 2: Semi-Analytical Estimates of Boundary Layer Discrete Green's Function JK Eaton, PM Milani Journal of Heat Transfer 142 (10), 102102, 2020 | 3 | 2020 |
| Machine Learning Approaches to Model Turbulent Mixing in Film Cooling Flows PM Milani Stanford University, 2020 | 3 | 2020 |
| The power of inception: Tackling the tiny ImageNet challenge PM Milani CS-231N Final Project Report, 2017 | 3 | 2017 |
| Assessing wall-modeled les for low-speed flows with heat transfer HHA Xu, XIA Yang, PM Milani AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2021, 1-16, 2021 | 1 | 2021 |
| Wall-modeled large-eddy simulations of low-speed flows with heat transfer XI Yang, H Xu, P Milani AIAA Scitech 2021 Forum, 0059, 2021 | 1 | 2021 |
| Data informed ocean simulations JB Ling, H Thorne, BLR Delorme, P Milani US Patent App. 17/890,150, 2024 | | 2024 |
| Distribution-based machine learning PM Milani, JO Hong, RM Jadhav, YH Yee, CD Schillaci, JB Ling US Patent App. 18/133,955, 2023 | | 2023 |
| Evaluation of a Machine Learning Turbulence Model in a Square Transverse Jet in Crossflow FP Costa, RB Díaz, PM Milani, J Takachi Tomita, C Bringhenti Turbo Expo: Power for Land, Sea, and Air 84171, V07BT12A030, 2020 | | 2020 |
| Tensor Basis Neural Networks for Turbulent Scalar Flux Modeling PM Milani, J Ling, JK Eaton APS Division of Fluid Dynamics Meeting Abstracts, G17. 002, 2019 | | 2019 |
John EatonProfessor of Mechanical Engineering, Stanford UniversityVerified email at stanford.edu
