Microfluidic Device

Microfluidic devices are miniaturized systems manipulating fluids at the microscale, enabling precise control over fluid flow and reactions for diverse applications. Current research emphasizes developing sophisticated designs for drug delivery, cell sorting, and heat transfer optimization, often leveraging machine learning (including neural networks and Gaussian processes) to improve design automation, prediction accuracy, and data analysis of complex fluidic behaviors. These advancements are significantly impacting fields like biomedical engineering and materials science by enabling faster, more efficient, and higher-throughput processes for diagnostics, therapeutics, and materials synthesis.