The Mixed Research Unit UMR 7083 is situated within the Ecole Supérieure de Physique et de Chimie Industrielles de la Ville de Paris (ESPCI) and is managed by both the Centre National de la Recherche Scientifique (CNRS) and the ESPCI. The UMR 7083 was created in January 2001. The UMR 7083 is named “Gulliver ” in order to emphasize the diversity of scales that are studied there (from millimeter-scale capillary-gravity waves to nanometer-scale molecules, passing through micrometer-scale colloidal objects).
PCT (Physico-Chimie Théorique), is coordinated by Anthony Maggs and remains close in spirit to the original group created by Jacques Prost two decades ago under the impulsion of P.-G. de Gennes. With the help of the tools of statistical mechanics together with numerical methods and scaling laws, the group works on problems inspired from experiments in physical chemistry and soft matter, from the interfaces between physics and biology and between physics and computational sciences, as well as from the industrial world.
MMN (Microfluidique, MEMS et Nanostructures), was created in 2003 and is lead since then by Patrick Tabeling. Its activity is centered on microfluidics, that is the study of flow in micro- systems with numerous applications in chemistry and biotechnology. In 2005, the MMN group set up the clean room of the ESPCI and is in charge of it since then.
EC2M (Effets Collectifs en Matière Molle), was created in October 2011. This group, lead by Olivier Dauchot, centers its activities on collective effects in soft matter. The main topics of interest are rheological properties of soft systems, active matter and self-assembling.
SPM (Molecular systems and programs), was created in 2015. This team is lead by Yannick Rondelez and works on molecular programming, directed evolution, diagnostics. Molecular programming is the science of encoding complex systems at the molecular scale, using the fact that information-processing can be done using molecules as carriers and chemical reactions as computational primitives. This team has already crafted an array of molecular mixtures that reproduce regulatory network architecture observed within single cells. One of our goal is now to apply this knowledge to the difficult problem of enzyme design or to the robust detection of ultratraces of nucleic acids.