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    Predicting Composition of Photo Voltaic Cells Using Neural Networks (2019)
    In:  CASI
    Details
    Publication Date: 2019-12-14
    Description: A better understanding of IV (current voltage) curve data collected from photo voltaic cells may lead to the construction of solar cells with improved electrical properties. With this in mind, IV curve data from different types of solar cells were acquired from the Photovoltaics and Electrochemical Systems Branch, NASA Glenn Research Center. Neural networks were created to predict the chemical composition of three classes of solar cells. The success of these predictions varied with class.
    Keywords: Space Sciences (General)
    Type: ARC-E-DAA-TN75359
    Format: application/pdf
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    NASA TECHNICAL REPORTS
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