Home ›
Entities
› academia
› Predicting the multiple parameters of organic acceptors through machine learning using <scp>RDkit</scp> descriptors: An easy and fast pipeline
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
Predicting the multiple parameters of organic acceptors through machine learning using RDkit descriptors: An easy and fast pipeline
Summary
Predicting the multiple parameters of organic acceptors through machine learning using RDkit descriptors: An easy and fast pipeline is a scholarly article[1].
Key Facts
Predicting the multiple parameters of organic acceptors through machine learning using RDkit descriptors: An easy and fast pipeline's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.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}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Predicting the multiple parameters of organic acceptors through machine learning using <scp>RDkit</scp> descriptors: An easy and fast pipeline — https://4ort.xyz/entity/predicting-the-multiple-parameters-of-organic-acceptors-through-machine-learning-using-scp-rdkit-scp-descriptors-an-easy (retrieved 2026-05-24)