Artificial neural network-based global model for radiative transfer in gas mixtures containing CO2, H2O and non-absorbing gases: Datasets and Supplementary Materials

Name: Artificial neural network-based global model for radiative transfer in gas mixtures containing CO2, H2O and non-absorbing gases: Datasets and Supplementary Materials
Creator: Zhiwei Yang
Published: 2020-06-30T19:59:46.165Z
Keywords: Applied Sciences

Yang, Zhiwei; Gopan, Akshay

doi:10.17632/sj47c6mg6y.3

Artificial neural network-based global model for radiative transfer in gas mixtures containing CO2, H2O and non-absorbing gases: Datasets and Supplementary Materials

Published: 30 June 2020| Version 3 | DOI: 10.17632/sj47c6mg6y.3

Contributors:

Zhiwei Yang, Akshay Gopan

Description

Weighs and bias data for the artificial neural network models, and fluent deployable codes for implementing these models

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Institutions

Washington University in Saint Louis

Artificial neural network-based global model for radiative transfer in gas mixtures containing CO2, H2O and non-absorbing gases: Datasets and Supplementary Materials

Description

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Institutions

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