Work

OSC-Net: a multi-fidelity machine learning model for organic solar cells

Year: 2025

Type: article

Abstract: OSC-Net, a novel multi-fidelity machine learning framework, enables accurate prediction of organic solar cell (OSC) performance and accelerates OSC materials discovery.

Source: Journal of Materials Chemistry A

DOI: 10.1039/d5ta08724d

Authors: Haizhou Yang, Adam Wold, Junlin Ou, Jeromy J. Rech, Wei You, Yi Wang

Institutions: University of Michigan, University of North Carolina at Asheville, Middle Tennessee State University, University of North Carolina at Chapel Hill, University of South Carolina

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: hybrid

Funder: Office of Naval Research

Award: G1803072568

OpenAlex ID: W4415840955

FWCI: 1.039

Cites: 45

Cited by: 5

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