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ZENODO
Software . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Software . 2025
License: CC BY
Data sources: Datacite
ZENODO
Software . 2025
License: CC BY
Data sources: Datacite
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EnJineer269/Gradient-atmospheric-model: Gradient atmospheric model for radiative cooling

Authors: EnJineer269;

EnJineer269/Gradient-atmospheric-model: Gradient atmospheric model for radiative cooling

Abstract

Gradient Atmospheric model MATLAB code for calculating radiative cooling performance using a gradient atmospheric model. This code supports the analysis presented in our paper: Y. Jin and M. Kats, "A gradient atmospheric model reveals enhanced radiative cooling potential and demonstrates the advantages of broadband emitters," Laser & Photonics Reviews (2025). How to run. Download all files (4 txt files, 1 .mat file, 2 .m files) in the same folder. Open "Gradient_atmospheric_model_for_public.m" in MATLAB. Set parameters according to the instructions in the .m file. Run. If you have any question, please email jin269@wisc.edu or mkats@wisc.edu

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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average