RegioML: predicting the regioselectivity of electrophilic aromatic substitution reactions using machine learning
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RegioML: predicting the regioselectivity of electrophilic aromatic substitution reactions using machine learning is a scholarly article[1].
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RegioML: predicting the regioselectivity of electrophilic aromatic substitution reactions using machine learning's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). RegioML: predicting the regioselectivity of electrophilic aromatic substitution reactions using machine learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/regioml-predicting-the-regioselectivity-of-electrophilic-aromatic-substitution-reactions-using-machine-learning
MLA“RegioML: predicting the regioselectivity of electrophilic aromatic substitution reactions using machine learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/regioml-predicting-the-regioselectivity-of-electrophilic-aromatic-substitution-reactions-using-machine-learning.
BibTeX@misc{4ortxyz_regioml-predicting-the-regioselectivity-of-electrophilic-aromatic-substitution-reactions-using-machine-learning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{RegioML: predicting the regioselectivity of electrophilic aromatic substitution reactions using machine learning}}, year = {2026}, url = {https://4ort.xyz/entity/regioml-predicting-the-regioselectivity-of-electrophilic-aromatic-substitution-reactions-using-machine-learning}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): RegioML: predicting the regioselectivity of electrophilic aromatic substitution reactions using machine learning — https://4ort.xyz/entity/regioml-predicting-the-regioselectivity-of-electrophilic-aromatic-substitution-reactions-using-machine-learning (retrieved 2026-05-24)
