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Interpretable Machine Learning Model for the Highly Accurate Prediction of Efficiency of Ternary Organic Solar Cells Based on Nonfullerene Acceptor using Effective Molecular Descriptors
Research article (Solar RRL, 2023) · cited 13× · AI/ML
Interpretable Machine Learning Model for the Highly Accurate Prediction of Efficiency of Ternary Organic Solar Cells Based on Nonfullerene Acceptor using Effective Molecular Descriptors
Summary
Interpretable Machine Learning Model for the Highly Accurate Prediction of Efficiency of Ternary Organic Solar Cells Based on Nonfullerene Acceptor using Effective Molecular Descriptors is a scholarly article[1].
Key Facts
Interpretable Machine Learning Model for the Highly Accurate Prediction of Efficiency of Ternary Organic Solar Cells Based on Nonfullerene Acceptor using Effective Molecular Descriptors's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Interpretable Machine Learning Model for the Highly Accurate Prediction of Efficiency of Ternary Organic Solar Cells Based on Nonfullerene Acceptor using Effective Molecular Descriptors. Retrieved May 24, 2026, from https://4ort.xyz/entity/interpretable-machine-learning-model-for-the-highly-accurate-prediction-of-efficiency-of-ternary-organic-solar-cells-bas
MLA“Interpretable Machine Learning Model for the Highly Accurate Prediction of Efficiency of Ternary Organic Solar Cells Based on Nonfullerene Acceptor using Effective Molecular Descriptors.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/interpretable-machine-learning-model-for-the-highly-accurate-prediction-of-efficiency-of-ternary-organic-solar-cells-bas.
BibTeX@misc{4ortxyz_interpretable-machine-learning-model-for-the-highly-accurate-prediction-of-efficiency-of-ternary-organic-solar-cells-bas_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Interpretable Machine Learning Model for the Highly Accurate Prediction of Efficiency of Ternary Organic Solar Cells Based on Nonfullerene Acceptor using Effective Molecular Descriptors}}, year = {2026}, url = {https://4ort.xyz/entity/interpretable-machine-learning-model-for-the-highly-accurate-prediction-of-efficiency-of-ternary-organic-solar-cells-bas}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Interpretable Machine Learning Model for the Highly Accurate Prediction of Efficiency of Ternary Organic Solar Cells Based on Nonfullerene Acceptor using Effective Molecular Descriptors — https://4ort.xyz/entity/interpretable-machine-learning-model-for-the-highly-accurate-prediction-of-efficiency-of-ternary-organic-solar-cells-bas (retrieved 2026-05-24)
