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Tao Ren
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Year
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
702022
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
592019
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
432013
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
402018
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
392013
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
352015
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
302018
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
242019
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
232021
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
212020
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
182021
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
162018
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
152021
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
142021
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
122022
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
102022
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
82022
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
72017
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
62021
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Articles 1–20