Data-science driven autonomous process optimization

Autonomous process optimization involves the human intervention-free exploration of a range process parameters to improve responses such as product yield and selectivity. Utilizing off-the-shelf components, we develop a closed-loop system for carrying out parallel autonomous process optimization exp...

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Detalles Bibliográficos
Autores principales: Christensen, Melodie, Yunker, Lars P. E., Adedeji, Folarin, Häse, Florian, Roch, Loïc M., Gensch, Tobias, dos Passos Gomes, Gabriel, Zepel, Tara, Sigman, Matthew S., Aspuru-Guzik, Alán, Hein, Jason E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9814253/
https://www.ncbi.nlm.nih.gov/pubmed/36697524
http://dx.doi.org/10.1038/s42004-021-00550-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9814253/
https://www.ncbi.nlm.nih.gov/pubmed/36697524
http://dx.doi.org/10.1038/s42004-021-00550-x

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