| Machine learning applied to retrieval of temperature and concentration distributions from infrared emission measurements T Ren, MF Modest, A Fateev, G Sutton, W Zhao, F Rusu Applied Energy 252, 113448, 2019 | 58 | 2019 |
| China’s energy transitions for carbon neutrality: Challenges and opportunities C Zhao, S Ju, Y Xue, T Ren, Y Ji, X Chen Carbon Neutrality 1 (1), 7, 2022 | 56 | 2022 |
| A hybrid wavenumber selection scheme for line-by-line photon Monte Carlo simulations in high-temperature gases T Ren, MF Modest Journal of heat transfer 135 (8), 084501, 2013 | 42 | 2013 |
| A transported probability density function/photon Monte Carlo method for high-temperature oxy–natural gas combustion with spectral gas and wall radiation XY Zhao, DC Haworth, T Ren, MF Modest Combustion Theory and Modelling 17 (2), 354-381, 2013 | 39 | 2013 |
| Efficient full-spectrum correlated-k-distribution look-up table C Wang, B He, MF Modest, T Ren Journal of Quantitative Spectroscopy and Radiative Transfer 219, 108-116, 2018 | 38 | 2018 |
| An inverse radiation model for optical determination of temperature and species concentration: Development and validation T Ren, MF Modest, A Fateev, S Clausen Journal of Quantitative Spectroscopy and Radiative Transfer 151, 198-209, 2015 | 35 | 2015 |
| Monte Carlo simulation for radiative transfer in a high-pressure industrial gas turbine combustion chamber T Ren, MF Modest, S Roy Journal of Engineering for Gas Turbines and Power, 2018 | 28 | 2018 |
| Line-by-line random-number database for monte carlo simulations of radiation in combustion system T Ren, MF Modest Journal of Heat Transfer 141 (2), 022701, 2019 | 24 | 2019 |
| Comparison and refinement of the various full-spectrum k-distribution and spectral line weighted-sum-of-gray-gases models for nonhomogeneous media C Wang, MF Modest, T Ren, J Cai, B He Journal of Quantitative Spectroscopy and Radiative Transfer 271, 107695, 2021 | 21 | 2021 |
| Temperature Profile Inversion from Carbon-Dioxide Spectral Intensities Through Tikhonov Regularization T Ren, MF Modest Journal of Thermophysics and Heat Transfer, 2015 | 19* | 2015 |
| Efficient two-dimensional scalar fields reconstruction of laminar flames from infrared hyperspectral measurements with a machine learning approach T Ren, H Li, MF Modest, C Zhao Journal of Quantitative Spectroscopy and Radiative Transfer 271, 107724, 2021 | 18 | 2021 |
| A Machine Learning Based Efficient and Compact Full-spectrum Correlated k-distribution Model Y Zhou, C Wang, T Ren Journal of Quantitative Spectroscopy and Radiative Transfer 254, 107199, 2020 | 18 | 2020 |
| Machine learning-assisted soot temperature and volume fraction fields predictions in the ethylene laminar diffusion flames T Ren, Y Zhou, Q Wang, H Liu, Z Li, C Zhao Optics Express 29 (2), 1678-1693, 2021 | 15 | 2021 |
| Simulating turbulence–radiation interactions using a presumed probability density function method T Ren, MF Modest, DC Haworth International Journal of Heat and Mass Transfer 121, 911–923, 2018 | 14 | 2018 |
| A Machine Learning Based Full-spectrum Correlated k-distribution Model for Nonhomogeneous Gas-soot Mixtures Y Zhou, C Wang, T Ren, C Zhao Journal of Quantitative Spectroscopy and Radiative Transfer 268, 107628, 2021 | 12 | 2021 |
| U-Net applied to retrieve two-dimensional temperature and CO2 concentration fields of laminar diffusion flames H Li, T Ren, X Liu, C Zhao Fuel 324, 124447, 2022 | 11 | 2022 |
| Machine learning applied to the retrieval of three-dimensional scalar fields of laminar flames from hyperspectral measurements T Ren, H Li, MF Modest, C Zhao Journal of Quantitative Spectroscopy and Radiative Transfer 279, 108047, 2022 | 10 | 2022 |
| Atmospheric CO2 retrieval from satellite spectral measurements by a two-step machine learning approach Z Zhao, F Xie, T Ren, C Zhao Journal of Quantitative Spectroscopy and Radiative Transfer 278, 108006, 2022 | 7 | 2022 |
| Optical determination of temperature and concentrations of homogeneous turbulent gas mixtures T Ren, MF Modest International Journal of Heat and Mass Transfer 104, 362-373, 2017 | 7 | 2017 |
| A machine learning approach assisting soot radiation-based thermometry to recover complete flame temperature field in a laminar flame Q Wang, Z Li, C Li, H Liu, T Ren Applied Physics B 127 (36), 1-8, 2021 | 6 | 2021 |
Michael ModestUniversity of California, MercedVerified email at ucmerced.edu
