Published December 27, 2023
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Supplementary information for the article "Accelerating the Development of Thin Film Photovoltaic Technologies: An Artificial Intelligence Assisted Methodology Using Spectroscopic and Optoelectronic Techniques"
Authors/Creators
- 1. Institut de Recerca en Energia de Catalunya (IREC)
-
2.
Sunplugged (Austria)
- 3. Departament d'Enginyeria i Biomèdica, IN2UB, Universitat de Barcelona
Description
This repository serves as a valuable supplementary information for the article titled "Accelerating the Development of Thin Film Photovoltaic Technologies: An Artificial Intelligence Assisted Methodology Using Spectroscopic and Optoelectronic Techniques". It provides access to both the sample code and the data that were used to achieve the results presented in the article. This additional material offers readers and researchers an in-depth look into the practical application of the methodologies discussed, enhancing the article's utility.
Files
enricgrau/Respository-for-Accelerating-the-development-of-thin-film-photovoltaic-technologies-1.0.1.zip
Files
(88.5 MB)
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md5:d1cfd0b7d0e81b20635109637544a388
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Additional details
Related works
- Is supplement to
- Software: https://github.com/enricgrau/Respository-for-Accelerating-the-development-of-thin-film-photovoltaic-technologies/tree/1.0.1 (URL)