Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Centre National de la Recherche ScientifiqueFR4.3k papers
- Université Paris Sciences et LettresFR2.3k papers
- Sorbonne UniversitéFR2.2k papers
- Laboratoire de Physique de l'Ecole Normale SupérieureFR1.8k papers
- Laboratoire Kastler BrosselFR1.1k papers
- Université Paris CitéFR925 papers
- Université Pierre-et-Marie-CurieFR681 papers
- Département de mathématiques et applicationsFR647 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR635 papers
- Université Paris-SaclayFR619 papers
- Sorbonne Paris CitéFR608 papers
- Collège de FranceFR523 papers
197 papers · 1 filter
Diffusio-osmotic transport in nanochannels
Lydéric Bocquet
In this chapter, I will enter into the roots of entropically-driven transport with a focus on diffusio-osmotic transport in nanochannels. Diffusio-osmosis is a subtle surface trans…
Dynamics of viscous liquids and the Random Barrier Model
Thomas B. Schrøder, Jeppe C. Dyre, Camille Scalliet
This paper combines the particle-swap Monte Carlo algorithm with long GPU molecular dynamics simulations to analyze the dynamics of a ternary Lennard-Jones glass-forming liquid in…
Probing the Microscopic Origin of Toughness in Multiple Polymer Networks
Nicholas H. P. Orr, Magali Le Goff, Burebi Yiming +6
Multiple polymer networks, such as double-network elastomers comprising a sacrificial and a matrix network, exhibit exceptional mechanical resilience, commonly attributed to the fo…
Accelerated snapping of slender beams under lateral forcing
Colin M. Meulblok, Hadrien Bense, M. Caelen +1
The hysteretic snapping under lateral forcing of a compressed, buckled beam is fundamental for many devices and mechanical metamaterials. For a single-tip lateral pusher, an import…
The interplay between membrane viscosity and ligand-binding receptor kinetics in lipid bilayers
Chiara Bernard, Angelo Rosario Carotenuto, Nicola Maria Pugno +2
Plasma membranes appear as deformable systems wherein molecules are free to move and diffuse giving rise to condensed microdomains (composed of ordered lipids, transmembrane protei…
Hydrodynamics of pulsating active liquids
Tirthankar Banerjee, Thibault Desaleux, Jonas Ranft +1
Inspired by dense contractile tissues, where cells are subject to periodic deformation, we formulate and study a generic hydrodynamic theory of pulsating active liquids. Combining…
Normalizing flows as an enhanced sampling method for atomistic supercooled liquids
Gerhard Jung, Giulio Biroli, Ludovic Berthier
Normalizing flows can transform a simple prior probability distribution into a more complex target distribution. Here, we evaluate the ability and efficiency of generative machine…
Light-induced phase separation with finite wavelength selection in photophobic micro-algae
Isabelle Eisenmann, Alfredo L'Homme, Aliénor Lahlou +5
As for many motile micro-algae, the freshwater species Chlamydomonas reinhardtii can detect light sources and adapt its motile behavior in response. Here, we show that suspensions…
Ductile-to-brittle transition and yielding in soft amorphous materials: perspectives and open questions
Thibaut Divoux, Elisabeth Agoritsas, Stefano Aime +37
Soft amorphous materials are viscoelastic solids ubiquitously found around us, from clays and cementitious pastes to emulsions and physical gels encountered in food or biomedical e…
Creating equilibrium glassy states via random particle bonding
Misaki Ozawa, Jean-Louis Barrat, Walter Kob +1
Creating amorphous solid states by randomly bonding an ensemble of dense liquid monomers is a common procedure which is applied to create a variety of materials such as epoxy resin…
Roadmap on machine learning glassy dynamics
Gerhard Jung, Rinske M. Alkemade, Victor Bapst +10
Unraveling the connections between microscopic structure, emergent physical properties, and slow dynamics has long been a challenge when studying the glass transition. The absence…
Correlation-induced viscous dissipation in concentrated electrolytes
Paul Robin
Electrostatic correlations between ions dissolved in water are known to impact their transport properties in numerous ways, from conductivity to ion selectivity. The effects of the…
Dynamic heterogeneity at the experimental glass transition predicted by transferable machine learning
Gerhard Jung, Giulio Biroli, Ludovic Berthier
We develop a transferable machine learning model which predicts structural relaxation from amorphous supercooled liquid structures. The trained networks are able to predict dynamic…
Patchy landscapes promote stability of small groups
Gianni Jacucci, Davide Breoni, Sandrine Heijnen +5
Group formation and coordination are fundamental characteristics of living systems, essential for performing tasks and ensuring survival. Interactions between individuals play a ke…
Scaling regimes and fluctuations of observables in computer glasses approaching the unjamming transition
Julia A. Giannini, Edan Lerner, Francesco Zamponi +1
Under decompression, disordered solids undergo an unjamming transition where they become under-coordinated and lose their structural rigidity. The mechanical and vibrational proper…
Non-equilibrium cluster-cluster aggregation in the presence of anchoring sites
Renaud Baillou, Jonas Ranft
Non-equilibrium cluster-cluster aggregation of particles diffusing in or at the cell membrane has been hypothesized to lead to domains of finite size in different biological contex…
Scaling Description of Dynamical Heterogeneity and Avalanches of Relaxation in Glass-Forming Liquids
Ali Tahaei, Giulio Biroli, Misaki Ozawa +2
We provide a theoretical description of dynamical heterogeneities in glass-forming liquids, based on the premise that relaxation occurs via local rearrangements coupled by elastici…
The Liquid--Hexatic Transition for Soft Disks
Yoshihiko Nishikawa, Werner Krauth, A. C. Maggs
We study the liquid--hexatic transition of soft disks with massively parallel simulations and determine the equation of state as a function of system size. For systems with interac…
Disentangling noise from confined ion dynamics
Paul Robin, Mathieu Lizée, Qian Yang +3
Ion transport through biological and solid-state nanochannels is known to be a highly noisy process. The power spectrum of current fluctuations is empirically known to scale like t…
Classifying the age of a glass based on structural properties: A machine learning approach
Giulia Janzen, Casper Smit, Samantha Visbeek +5
It is well established that physical aging of amorphous solids is governed by a marked change in dynamical properties as the material becomes older. Conversely, structural properti…
Nanofluidics at the crossroads
Paul Robin, Lydéric Bocquet
Nanofluidics, the field interested in flows at the smallest scales, has grown at a fast pace, reaching an ever finer control offluidic and ionic transport at the molecular level. S…
Ion filling of a one-dimensional nanofluidic channel in the interaction confinement regime
Paul Robin, Adrien Delahais, Lydéric Bocquet +1
Ion transport measurements are widely used as an indirect probe for various properties of confined electrolytes. It is generally assumed that the ion concentration in a nanoscale c…
Narrow escape in composite domains forming heterogeneous networks
Frédéric Paquin-Lefebvre, Kanishka Basnayake, David Holcman
Cellular networks are often composed of thin tubules connecting much larger node compartments. These structures serve for active or diffusion transport of proteins. Examples are gl…
Predicting dynamic heterogeneity in glass-forming liquids by physics-inspired machine learning
Gerhard Jung, Giulio Biroli, Ludovic Berthier
We introduce GlassMLP, a machine learning framework using physics-inspired structural input to predict the long-time dynamics in deeply supercooled liquids. We apply this deep neur…