Generating microfluidic droplets with application-specific desired characteristics is hard. Here the authors report fluid-agnostic machine learning models capable of accurately predicting device geometries and flow conditions required to generate stable single and double emulsions.
- Ali Lashkaripour
- David P. McIntyre
- Polly M. Fordyce
