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Machine learning for microfluidic design and control

Microfluidics has developed into a mature field with applications across science and engineering, having particular commercial success in molecular diagnostics, next-generation sequencing, and bench-top analysis. Despite its ubiquity, the complexity of designing and controlling custom microfluidic d...

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Detalles Bibliográficos
Autores principales: McIntyre, David, Lashkaripour, Ali, Fordyce, Polly, Densmore, Douglas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society of Chemistry 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9361804/
https://www.ncbi.nlm.nih.gov/pubmed/35904162
http://dx.doi.org/10.1039/d2lc00254j