Machine learning enables design automation of microfluidic flow-focusing droplet generation
Devices for droplet generation are at the heart of many microfluidic applications but difficult to tailor for specific cases. Lashkaripour et al. show how design customization can greatly be simplified by combining rapid prototyping with data-driven machine learning strategies.
| Váldodahkkit: | , , , , , , , |
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| Materiálatiipa: | Artihkal |
| Giella: | English |
| Almmustuhtton: |
Nature Portfolio
2021-01-01
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| Ráidu: | Nature Communications |
| Liŋkkat: | https://doi.org/10.1038/s41467-020-20284-z |
| Čoahkkáigeassu: | Devices for droplet generation are at the heart of many microfluidic applications but difficult to tailor for specific cases. Lashkaripour et al. show how design customization can greatly be simplified by combining rapid prototyping with data-driven machine learning strategies. |
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| ISSN: | 2041-1723 |