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, 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
Categories
Applied Sciences