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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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

DOI retrieved: December 2, 2024

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