AlphaFlow: autonomous discovery and optimization of multi-step chemistry using a self-driven fluidic lab guided by reinforcement learning

Closed-loop, autonomous experimentation enables accelerated and material-efficient exploration of large reaction spaces without the need for user intervention. However, autonomous exploration of advanced materials with complex, multi-step processes and data sparse environments remains a challenge. I...

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Detalles Bibliográficos
Autores principales: Volk, Amanda A., Epps, Robert W., Yonemoto, Daniel T., Masters, Benjamin S., Castellano, Felix N., Reyes, Kristofer G., Abolhasani, Milad
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/PMC10015005/
https://www.ncbi.nlm.nih.gov/pubmed/36918561
http://dx.doi.org/10.1038/s41467-023-37139-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10015005/
https://www.ncbi.nlm.nih.gov/pubmed/36918561
http://dx.doi.org/10.1038/s41467-023-37139-y

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