Work

Accelerated discovery of new organic photovoltaic dyes for OPVs using light absorbance as the primary screening criterion via machine learning and DFT

Year: 2025

Type: article

Abstract: . This study establishes a robust, data-driven framework for the rapid discovery and design of high-performance organic photovoltaic materials.

Source: RSC Advances

DOI: 10.1039/d5ra06776f

Authors: Masar A. Awad, Afaf M. Kadhum, Azal S. Waheeb, Hussein A. K. Kyhoiesh, Hassan E. Abd Elsalam, Islam H. El Azab

Institutions: Al-Muthanna University, Al-Ayen Iraqi University, National University of Science and Technology, Ministry of Education, Taif University

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $1,042

Funder: Taif University

OpenAlex ID: W4416738136

FWCI: 1.077

Cites: 62

Cited by: 6

Related to: 10