For more information on DAFD 1.0 read Lashkaripour et al. "Machine learning enables design automation of microfluidic flow-focusing droplet generation." Nature Communications 12, no. 25 (2021). or contact us at alilp@stanford.edu.

For more information on DAFD 2.0 read McIntyre et al. "Versatility and stability optimization of flow-focusing droplet generators via quality metric-driven design automation." Lab on a Chip 23, p. 4997-5008 (2023). or contact us at dpmc@bu.edu.

For more information on DAFD 3.0 read Lashkaripour et al. "Design automation of microfluidic single and double emulsion droplets with machine learning." Nature Communications 15, no. 83 (2024). or contact us at alilp@stanford.edu.

For more information on low-cost fabrication of microfluidic devices read Ali Lashkaripour, Ryan Silva, and Douglas Densmore. "Desktop micromilled microfluidics." Microfluidics and Nanofluidics 22, no. 3 (2018): 31. or contact us at alilp@stanford.edu.

For more information of microfluidic flow-focusing droplet generation read Ali Lashkaripour, Christopher Rodriguez, Luis Ortiz, and Douglas Densmore. "Performance tuning of microfluidic flow-focusing droplet generators." Lab on a Chip 19, no. 6 (2019): 1041-1053. or contact us at alilp@stanford.edu.

For more information on machine learning for microfluidic design and control read David McIntyre, Ali Lashkaripour, Polly Fordyce, and Douglas Densmore. "Machine learning for microfluidic design and control." Lab on a Chip 22, (2022): 2925-2937. or contact us at dpmc@bu.edu.