Analyzing drop coalescence in microfluidic device with a deep learning generative model

Kewei Zhu, Sibo Cheng, Nina Kovalchuk +4

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