Adaptable control policies for variable liquid chromatography columns using deep reinforcement learning

Controlling chromatography systems for downstream processing of biotherapeutics is challenging because of the highly nonlinear behavior of feed components and complex interactions with binding phases. This challenge is exacerbated by the highly variable binding properties of the chromatography colum...

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Detalles Bibliográficos
Autores principales: Andersson, David, Edlund, Christoffer, Corbett, Brandon, Sjögren, Rickard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10338460/
https://www.ncbi.nlm.nih.gov/pubmed/37438376
http://dx.doi.org/10.1038/s41598-023-38145-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10338460/
https://www.ncbi.nlm.nih.gov/pubmed/37438376
http://dx.doi.org/10.1038/s41598-023-38145-2

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