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Neural Network Surrogate Models for Absorptivity and Emissivity Spectra of Multiple Elements

The dataset used to train the DJINN models consists of the randomly sampled values used to generate the absorptivity spectra and emissivity spectra as inputs as well as the z-numbers of the elements.

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Cite this as

Michael D. Vander Walc, Ryan G. McClarrenc, Kelli D. Humbirdd (2024). Dataset: Neural Network Surrogate Models for Absorptivity and Emissivity Spectra of Multiple Elements. https://doi.org/10.57702/s5cgmmjj

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Additional Info

Field	Value
Created	December 2, 2024
Last update	December 2, 2024
Defined In	https://doi.org/10.48550/arXiv.2106.02528
Author	Michael D. Vander Walc
More Authors	Ryan G. McClarrenc Kelli D. Humbirdd