Computational Microfluidics and Rheology Lab

At CμF-Rheo Lab in BCAM, we develop advanced models and simulations for understanding the behavior of complex fluids, from microfluidics to macroscopic flows. We use parallel simulations to tackle complex engineering challenges in various fields, including environmental, chemical manufacturing, polymer/food processing, and biomedical research. Our approach combines macroscopic grid-based and Lagrangian methods for PDEs together with mesoscopic stochastic particle techniques to efficiently address multiscale fluid dynamics.

Our primary focus lies in studying complex particulate flows, such as the transport of polymeric, colloidal, cellular dispersions, porous and granular materials. This encompasses particle dynamics in manufacturing and biomedical applications, as well as a fundamental exploration of the connection between microstructures in complex fluids and their macroscopic rheological properties.