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Application of machine learning‐based read‐across structure‐property relationship (RASPR) as a new tool for predictive modelling: Prediction of power conversion efficiency (PCE) for selected classes of organic dyes in dye‐sensitized solar cells (DSSCs)

Research article (Molecular Informatics, 2024) · cited 18× · AI/ML
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Application of machine learning‐based read‐across structure‐property relationship (RASPR) as a new tool for predictive modelling: Prediction of power conversion efficiency (PCE) for selected classes of organic dyes in dye‐sensitized solar cells (DSSCs)

Summary

Application of machine learning‐based read‐across structure‐property relationship (RASPR) as a new tool for predictive modelling: Prediction of power conversion efficiency (PCE) for selected classes of organic dyes in dye‐sensitized solar cells (DSSCs) is a scholarly article[1].

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  • Application of machine learning‐based read‐across structure‐property relationship (RASPR) as a new tool for predictive modelling: Prediction of power conversion efficiency (PCE) for selected classes of organic dyes in dye‐sensitized solar cells (DSSCs)'s instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Application of machine learning‐based read‐across structure‐property relationship (RASPR) as a new tool for predictive modelling: Prediction of power conversion efficiency (PCE) for selected classes of organic dyes in dye‐sensitized solar cells (DSSCs). Retrieved May 24, 2026, from https://4ort.xyz/entity/application-of-machine-learningbased-readacross-structureproperty-relationship-raspr-as-a-new-tool-for-predictive-modell
MLA “Application of machine learning‐based read‐across structure‐property relationship (RASPR) as a new tool for predictive modelling: Prediction of power conversion efficiency (PCE) for selected classes of organic dyes in dye‐sensitized solar cells (DSSCs).” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/application-of-machine-learningbased-readacross-structureproperty-relationship-raspr-as-a-new-tool-for-predictive-modell.
BibTeX @misc{4ortxyz_application-of-machine-learningbased-readacross-structureproperty-relationship-raspr-as-a-new-tool-for-predictive-modell_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Application of machine learning‐based read‐across structure‐property relationship (RASPR) as a new tool for predictive modelling: Prediction of power conversion efficiency (PCE) for selected classes of organic dyes in dye‐sensitized solar cells (DSSCs)}}, year = {2026}, url = {https://4ort.xyz/entity/application-of-machine-learningbased-readacross-structureproperty-relationship-raspr-as-a-new-tool-for-predictive-modell}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Application of machine learning‐based read‐across structure‐property relationship (RASPR) as a new tool for predictive modelling: Prediction of power conversion efficiency (PCE) for selected classes of organic dyes in dye‐sensitized solar cells (DSSCs) — https://4ort.xyz/entity/application-of-machine-learningbased-readacross-structureproperty-relationship-raspr-as-a-new-tool-for-predictive-modell (retrieved 2026-05-24)

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