A deep learning framework for accurate reaction prediction and its application on high-throughput experimentation data

In recent years, it has been seen that artificial intelligence (AI) starts to bring revolutionary changes to chemical synthesis. However, the lack of suitable ways of representing chemical reactions and the scarceness of reaction data has limited the wider application of AI to reaction prediction. H...

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Detalles Bibliográficos
Autores principales: Li, Baiqing, Su, Shimin, Zhu, Chan, Lin, Jie, Hu, Xinyue, Su, Lebin, Yu, Zhunzhun, Liao, Kuangbiao, Chen, Hongming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10422736/
https://www.ncbi.nlm.nih.gov/pubmed/37568183
http://dx.doi.org/10.1186/s13321-023-00732-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10422736/
https://www.ncbi.nlm.nih.gov/pubmed/37568183
http://dx.doi.org/10.1186/s13321-023-00732-w

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