Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Clément, Eric"'
Autor:
Chen, Wenjun, Izzet, Adrien, Zakine, Ruben, Clément, Eric, Vanden-Eijnden, Eric, Brujic, Jasna
Swimming droplets are a class of active particles whose motility changes as a function of time due to shrinkage and self-avoidance of their trail. Here we combine experiments and theory to show that our non-Markovian droplet (NMD) model, akin to a tr
Externí odkaz:
http://arxiv.org/abs/2405.09636
The properties of an active fluid, for example, a bacterial bath or a collection of microtubules and molecular motors, can be accessed through the dynamics of passive particle probes. Here, in the perspective of analyzing experimental situations of c
Externí odkaz:
http://arxiv.org/abs/2403.11933
In many situations bacteria move in complex environments, as for example in soils, oceans or the human gut-track microbiome. In these natural environments, carrier fluids such as mucus or reproductive fluids show complex structure associated with non
Externí odkaz:
http://arxiv.org/abs/2206.10316
Understanding flow and transport of bacteria in porous media is crucial to technologies such as bioremediation, biomineralization or enhanced oil recovery. While physicochemical bacteria filtration is well-documented, recent studies showed that bacte
Externí odkaz:
http://arxiv.org/abs/2201.04628
Autor:
Junot, Gaspard, Darnige, Thierry, Lindner, Anke, Martinez, Vincent A., Arlt, Jochen, Dawson, Angela, Poon, Wilson C. K., Auradou, Harold, Clément, Eric
Publikováno v:
Phys. Rev. Lett. 128, 248101 (2022)
Motile bacteria are known to accumulate at surfaces, eventually leading to changes in bacterial motility and bio-film formation. We use a novel two-colour, three-dimensional Lagrangian tracking technique, to follow simultaneously the body and the fla
Externí odkaz:
http://arxiv.org/abs/2107.11123
Publikováno v:
Phys. Rev. E 103, 032608 (2021)
We develop a maximum likelihood method to infer relevant physical properties of elongated active particles. Using individual trajectories of advected swimmers as input, we are able to accurately determine their rotational diffusion coefficients and a
Externí odkaz:
http://arxiv.org/abs/2012.04528
Publikováno v:
Sci. Adv. 6, eabb2012 (2020)
Interaction of swimming bacteria with flows controls their ability to explore complex environments, crucial to many societal and environmental challenges and relevant for microfluidic applications as cell sorting. Combining experimental, numerical an
Externí odkaz:
http://arxiv.org/abs/2003.04012
Autor:
Figueroa-Morales, Nuris, Rivera, Aramis, Soto, Rodrigo, Lindner, Anke, Altshuler, Ernesto, Clement, Eric
Publikováno v:
Science Advances Vol. 6, No. 11 (2020)
One striking feature of bacterial motion is their ability to swim upstream along corners and crevices, by leveraging hydrodynamic interactions. This motion through anatomic ducts or medical devices might be at the origin of serious infections. Howeve
Externí odkaz:
http://arxiv.org/abs/1904.02801
Autor:
Junot, Gaspard, Figueroa-Morales, Nuris, Darnige, Thierry, Lindner, Anke, Soto, Rodrigo, Auradou, Harold, Clément, Eric
Publikováno v:
EPL 126 44003 (2019)
Using a 3D Lagrangian tracking technique, we determine experimentally the trajectories of non-tumbling E. coli mutants swimming in a Poiseuille flow. We identify a typology of trajectories in agreement with a kinematic "active Bretherton-Jeffery" mod
Externí odkaz:
http://arxiv.org/abs/1903.02995
Autor:
Vincenti, Benoit, Ramos, Gabriel, Cordero, Maria Luisa, Douarche, Carine, Soto, Rodrigo, Clément, Eric
Publikováno v:
Nature Communications, 10 (2019)
From intracellular protein trafficking to large scale motion of animal groups, the physical concepts driving the self-organization of living systems are still largely unraveled. Selforganization of active entities, leading to novel phases and emergen
Externí odkaz:
http://arxiv.org/abs/1903.00993