Non-Invasive Composition Identification in Organic Solar Cells via Deep Learning

Non-Invasive Composition Identification in Organic Solar Cells via Deep Learning

Accurate identification of active-layer compositions in organic photovoltaic (OPV) devices often relies on invasive techniques such as electrical measurements or material extraction, which risk damaging the device. In this study, we propose a non-invasive classification approach based on simulated f...

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Bibliographic Details
Main Authors: Yi-Hsun Chang, You-Lun Zhang, Cheng-Hao Cheng, Shu-Han Wu, Cheng-Han Li, Su-Yu Liao, Zi-Chun Tseng, Ming-Yi Lin, Chun-Ying Huang
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Nanomaterials
Subjects:
organic photovoltaic (OPV)
absorption spectra
deep learning
multilayer perceptron (MLP)
non-invasive classification
Online Access:https://www.mdpi.com/2079-4991/15/14/1112
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