We are theorists and experimentalists working at the interface of physics, chemistry, biology and computer science. Our research focuses on soft matter (colloids, polymers, liquid crystals, granular matter, thin sheets...), active matter (self-propelled colloids, swimming droplets, walking grains, swarms of robots... ) and molecular systems (DNA, RNA, enzymes...). We study various aspects of these systems such as topology, self-assembly, interfaces, information processing, evolution..., while also developing general theoretical methods for studying condensed matter systems.

The name Gulliver captures the diversity of scales that are studied in the lab: from DNA at the molecular scale, to micro-scale colloids, millimeter-scale capillary-gravity waves and centimeter scale robots.

This mixed research unit UMR 7083, created in January 2001, 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.




News

Universal motifs and the diversity of autocatalytic systems

Autocatalysis is essential for the origin of life and chemical evolution. However, the lack of a unified framework so far prevents a systematic (...)


Fête de la Science 2020 – Climate science @Gulliver

At the Fête de la Science 2020, members* from Gulliver have created an outreach stand at the Espace Pierre Gilles de Gennes (ESPGG), 10 rue (...)


Guillaume Gines received the ERC starting grant!

Guillaume Gines received the ERC starting grant to work on Molecular Programming for MicroRNA profiling. He will be joining the Gulliver lab as a (...)


Vincent Bertin receives the Jean Langlois prize for research dissemination

The Jean Langlois foundation co-awards Julien Es Sayed (former PhD student at the SIMM lab) and Vincent Bertin, PhD student at Gulliver to the (...)


Rearrangement of two dimensional aggregates of droplets under compression: Signatures of the energy landscape from crystal to glass

We study signatures of the energy landscape’s evolution through the crystal-to-glass transition by compressing two dimensional (2D) finite (...)


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