We investigate and utilize dynamically changing flow situations at small scales to either study complex chemical or biological phenomena or organize matter in space and time. We use a combination of micro/nanofabrication approaches, analytical and numerical models and imaging modalities. By engineering simple microenvironments we are able to probe and abstract out a general principle behind an observed phenomenon. We aim at translating these principles to massively scaled, easy-to-use, well-integrated and fully automated fluidic microprocessors.

Recent Paper: Abolhasani M; Singh M; Kumacheva E and Günther A. "Automated microfluidic platform for studies of carbon dioxide dissolution and solubility in physical solvents", Lab Chip, 12(9), 1611-1618, 2012