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Uncovering Structure–Performance Relationships in Organic Photovoltaics: Interpretable Machine Learning Model for Predicting the Power Conversion Efficiency

Year: 2025

Type: article

Source: IEEE Journal of Photovoltaics

DOI: 10.1109/jphotov.2025.3592683

Authors: Yi Yang, Arowa Yasmeen, Ovidiu Daescu

Institution: The University of Texas at Dallas

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: closed

OpenAlex ID: W4413156269

FWCI:

Cites: 45

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Related to: 10