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RESEARCH PAPER · Digital Discovery · 2026

Structure-guided machine learning for efficiency prediction of organic photovoltaics using experimentally informed molecular descriptors

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Open in your workspace →Saved 2026-10-14 · complete coverage
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Structure-guided machine learning for efficiency prediction of organic photovoltaics using experimentally informed molecular descriptorsOriginalDecoding non-fullerene acceptors for organic solar cells: a theoretical structure–property–performance perspective1A Physics-Guided Graph Neural Network Framework for Predicting Organic Solar Cell Performance Parameters0A proposed machine learning model for evaluating material-related descriptors in organic solar cells0

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  1. Decoding non-fullerene acceptors for organic solar cells: a theoretical structure–property–performance perspective

    RSC Advances · 2026-01-01

    Habib Ul Murtaza, Nimra Sultan, Muhammad Ramzan Saeed Ashraf Janjua

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  2. A Physics-Guided Graph Neural Network Framework for Predicting Organic Solar Cell Performance Parameters

    Algorithms · 2026-05-27

    Mirza Sanita Haque, Monira Khanom Mim, Simon Y. Foo

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  3. A proposed machine learning model for evaluating material-related descriptors in organic solar cells

    Journal of Optics · 2026-09-11

    Darya Rasul Ahmed, Fahmi F. Muhammadsharif

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