Machine Learning May Sometimes Simply Capture Literature Popularity Trends: A Case Study of Heterocyclic Suzuki–Miyaura Coupling

[Image: see text] Applications of machine learning (ML) to synthetic chemistry rely on the assumption that large numbers of literature-reported examples should enable construction of accurate and predictive models of chemical reactivity. This paper demonstrates that abundance of carefully curated li...

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Detalles Bibliográficos
Autores principales: Beker, Wiktor, Roszak, Rafał, Wołos, Agnieszka, Angello, Nicholas H., Rathore, Vandana, Burke, Martin D., Grzybowski, Bartosz A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8949728/
https://www.ncbi.nlm.nih.gov/pubmed/35258973
http://dx.doi.org/10.1021/jacs.1c12005

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8949728/
https://www.ncbi.nlm.nih.gov/pubmed/35258973
http://dx.doi.org/10.1021/jacs.1c12005

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