Predicting the multiple parameters of organic acceptors through machine learning using <scp>RDkit</scp> descriptors: An easy and fast pipeline

Research article (International Journal of Quantum Chemistry, 2023) · cited 20× · AI/ML
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Predicting the multiple parameters of organic acceptors through machine learning using RDkit descriptors: An easy and fast pipeline

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Predicting the multiple parameters of organic acceptors through machine learning using RDkit descriptors: An easy and fast pipeline is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Predicting the multiple parameters of organic acceptors through machine learning using <scp>RDkit</scp> descriptors: An easy and fast pipeline. Retrieved May 24, 2026, from https://4ort.xyz/entity/predicting-the-multiple-parameters-of-organic-acceptors-through-machine-learning-using-scp-rdkit-scp-descriptors-an-easy
MLA “Predicting the multiple parameters of organic acceptors through machine learning using <scp>RDkit</scp> descriptors: An easy and fast pipeline.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/predicting-the-multiple-parameters-of-organic-acceptors-through-machine-learning-using-scp-rdkit-scp-descriptors-an-easy.
BibTeX @misc{4ortxyz_predicting-the-multiple-parameters-of-organic-acceptors-through-machine-learning-using-scp-rdkit-scp-descriptors-an-easy_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Predicting the multiple parameters of organic acceptors through machine learning using <scp>RDkit</scp> descriptors: An easy and fast pipeline}}, year = {2026}, url = {https://4ort.xyz/entity/predicting-the-multiple-parameters-of-organic-acceptors-through-machine-learning-using-scp-rdkit-scp-descriptors-an-easy}, note = {Accessed: 2026-05-24}}
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