Cargando…
Bayesian Self‐Optimization for Telescoped Continuous Flow Synthesis
The optimization of multistep chemical syntheses is critical for the rapid development of new pharmaceuticals. However, concatenating individually optimized reactions can lead to inefficient multistep syntheses, owing to chemical interdependencies between the steps. Herein, we develop an automated c...
Autores principales: | Clayton, Adam D., Pyzer‐Knapp, Edward O., Purdie, Mark, Jones, Martin F., Barthelme, Alexandre, Pavey, John, Kapur, Nikil, Chamberlain, Thomas W., Blacker, A. John, Bourne, Richard A. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10108149/ https://www.ncbi.nlm.nih.gov/pubmed/36346840 http://dx.doi.org/10.1002/anie.202214511 |
Ejemplares similares
-
Rationalizing
and Adapting Water-Accelerated Reactions
for Sustainable Flow Organic Processes
por: Maltby, Katarzyna A., et al.
Publicado: (2023) -
Multi-objective optimisation of polymerase chain reaction continuous flow systems
por: Zagklavara, Foteini, et al.
Publicado: (2022) -
Scaled up and telescoped synthesis of propofol under continuous-flow conditions
por: Martins, Guilherme M., et al.
Publicado: (2022) -
Optimization of telescope images
por: Martin, A
Publicado: (1975) -
Continuous flow synthesis of pyridinium salts accelerated by multi-objective Bayesian optimization with active learning
por: Dunlap, John H., et al.
Publicado: (2023)