Microfluidics has developed into a mature field with applications across science and
engineering, having particular commercial success in molecular diagnostics, next …

Artificial intelligence (AI) has dramatically changed the landscape of science, industry,
defence, and medicine in the last several years. Supported by considerably enhanced …

Microfluidics permit the automated manipulation of fluids at the microscale with high
throughput and spatiotemporal precision, enabling the generation of large, multidimensional …

Intelligent microfluidics is an emerging cross-discipline research area formed by combining
microfluidics with machine learning. It uses the advantages of microfluidics, such as high …

The control of droplet formation and size using microfluidic devices is a critical operation for
both laboratory and industrial applications, eg in micro-dosage. Surfactants can be added to …

This article reviews recent developments in the applications of machine learning, data-
driven modeling, transfer learning, and autonomous experimentation for the discovery …

Microfluidic devices are increasingly widespread in the literature, being applied to numerous
exciting applications, from chemical research to Point-of-Care devices, passing through drug …

The synthesis of nanoparticles is affected by many reaction conditions, and their properties
are usually determined by factors such as their size, shape and surface chemistry. In order …

Tracking droplets in microfluidics is a challenging task. The difficulty arises in choosing a
tool to analyze general microfluidic videos to infer physical quantities. The state-of-the-art …

Microchip has long been studied and facilitated recent investigations in multiple biomedical
and material fields. The advances in functional materials triggered several leaps in the …