A deep-reinforcement learning approach for optimizing homogeneous droplet routing in digital microfluidic biochips
- DOI
- 10.1063/10.0017350
- Published
- 2023-03-08
- Container
- Nanotechnology and Precision Engineering
- Publisher
- AIP Publishing
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1063/10.0017350,
title = {A deep-reinforcement learning approach for optimizing homogeneous droplet routing in digital microfluidic biochips},
author = {Basudev Saha and Bidyut Das and Mukta Majumder},
year = {2023},
journal = {Nanotechnology and Precision Engineering},
doi = {10.1063/10.0017350},
url = {https://doi.org/10.1063/10.0017350}
}RIS
TY - JOUR TI - A deep-reinforcement learning approach for optimizing homogeneous droplet routing in digital microfluidic biochips AU - Basudev Saha AU - Bidyut Das AU - Mukta Majumder PY - 2023 JO - Nanotechnology and Precision Engineering DO - 10.1063/10.0017350 UR - https://doi.org/10.1063/10.0017350 ER -
APA
Saha, B., Das, B., & Majumder, M. (2023). A deep-reinforcement learning approach for optimizing homogeneous droplet routing in digital microfluidic biochips. Nanotechnology and Precision Engineering. https://doi.org/10.1063/10.0017350
Source records
- crossref · retrieved 2026-11-04T02:19:54.612Z