User-specified droplets generated by microfluidics are critical but requires intensive
expertise and much time. Stimulated by data boosts from microfluidic experiments, deep …

Size-controllable micro-droplets obtained in microfluidic cross-junctions are significant in
microfluidics. Modeling and predictions in microfluidic-based droplet formation …

Machine learning has recently been introduced in the context of droplet microfluidics to
simplify the process of droplet formation, which is usually controlled by a variety of …

Predicting drop coalescence based on process parameters is crucial for experimental
design in chemical engineering. However, predictive models can suffer from the lack of …

Droplet-based microfluidics holds promise for advanced biomedical applications due to its
enhanced accuracy, throughput, rapid reaction time, and minimal reagent consumption …

Microfluidic technology is a versatile approach to improve the production of various fine
chemicals and materials, where precise and fast size measurement of microdroplets in …

Droplet microfluidics has gained widespread attention in recent years due to its advantages
of high throughput, high integration, high sensitivity and low power consumption in droplet …

Real-time object identification and classification are essential in many microfluidic
applications especially in the droplet microfluidics. This paper discusses the application of …

Droplet generation in microscale has gained enormous attention in recent years especially
in the pharmaceutical industry due to their application in targeted drug delivery into droplets …

Droplet-based microfluidic devices hold immense potential in becoming inexpensive
alternatives to existing screening platforms across life science applications, such as enzyme …