Droplet microfluidics has emerged as a powerful technology to perform high-throughput
experiments, while artificial intelligence (AI) serves as a functional tool to analyze a large set …

The advent of artificial intelligence (AI) has catalyzed a profound transformation in the
pharmaceutical industry, ushering in a paradigm shift across various domains, including …

Real-time chemical process monitoring, analysis, and control have become increasingly
important to multi-phase flow process research and development and attracted overt …

The stability of emulsions is a critical concern across multiple industries, including food
products, agricultural formulations, petroleum, and pharmaceuticals. Achieving prolonged …

Image analysis enables the estimation of critical process properties such as crystal size,
morphology, and crystallization kinetics. Despite the rich image information, the lack of a …

The present study describes the relationship between operating conditions, product
formulation, and product properties at different time and spatial scales applying a multiscale …

Bilgewater is a shipboard multi-component oily wastewater, combining numerous
wastewater sources. A better understanding of bilgewater emulsions is required for proper …

Highlights•Current challenges and opportunities in emulsified products design are
discussed.•Demands for sustainable and personalized emulsified products is growing.•New …

Neural network applications, as an emerging machine learning technology, are increasingly
being integrated into pharmaceutical manufacturing technologies, offering significant …

Understanding the complicated emulsion microstructures by microscopic images will help to
further elaborate their mechanisms and relevance. The formidable goal of the classification …