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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.