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

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A data-driven framework combining machine learning and density functional theory with light absorbance as the primary screening criterion enables the rapid discovery and design of high-performance organic photovoltaic materials. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

Masar Ali Awad; Afaf Murtadha Kadhum; Azal S. Waheeb; Hussein Ali Kadhim Kyhoiesh; Hassan E. Abd Elsalam; Islam H. El Azab

doi:10.1039/d5ra06776f

January 1, 2025RSC AdvancesOpen Access

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

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Key Points

The aim is to create a quick and effective framework for identifying high-performance organic photovoltaic dyes.
Utilized machine learning algorithms for screening materials based on light absorbance criteria.
Applied density functional theory (DFT) to evaluate material properties.
Developed a data-driven approach for accelerated material discovery.
Identified several high-performance organic photovoltaic dyes based on the established framework.
Demonstrated significant improvements in efficiency compared to traditional methods.

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Implication

Explores new organic photovoltaic materials, suggesting efficient design techniques.

Abstract

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

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Cite This Study

Awad et al. (2025) studied this question.

synapsesocial.com/papers/6a1c67a8f63f086470a14ade https://doi.org/10.1039/d5ra06776f

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

Key Points

Ask about this paper

Implication

Abstract

Discussion

Cite This Study

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

Key Points

Ask about this paper

Implication

Abstract

Discussion

Cite This Study

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