Brownian Motion near Soft Interfaces
EMetBrown aims to investigate the effects of thermal fluctuations on Brownian motion near soft interfaces to enhance particle transport and surface patterning methods through experiments and theoretical models.
Projectdetails
Introduction
Soft and wet contacts are ubiquitous across scales from geology to physiology and are crucial for engineering. Furthermore, many processes of physics and biology at small scales are governed by the mobility of microscopic entities in soft and confined environments, with the aim of reaching specific targets.
EHD Lift Force
Interestingly, an emergent elastohydrodynamic (EHD) lift force was theoretically predicted recently for an immersed object moving near an elastic wall. An active community, including the PI, has started to explore this striking effect with various deterministic models and experiments, showing its relevance for nanoscale and biomimetic systems.
Central Claim
In this context, and moving beyond the deterministic, the PI’s central claim is that such EHD effects can be spontaneously triggered by thermal fluctuations. The result would be an original migration scenario in complex and confined environments – with enormous implications. However, studies are scarce on the topic.
Project Ambition
The ambition of EMetBrown is thus to address this challenge at the interface between two mature fields, by solving a fundamental problem involving both continuum and statistical mechanics: Brownian motion near soft interfaces.
Objectives
The three objectives are to:
- Reveal
- Explore
- Harvest the signatures of such motion
These objectives will pave the way towards the future design of methods for:
- Particle transport
- Surface patterning
- Confined reactions
- Nanorheology
Methodology
These objectives will be reached using a combination of experiments, theory, and numerics, domains in which the PI has extensive experience.
Experimental Setups
EMetBrown involves:
-
Three core experimental setups:
- Free colloids
- Optical trapping
- Atomic-force microscopy
-
Three core theoretical models:
- Soft lubrication
- Stochastic theory
- Langevin simulations
-
Three exploratory tools:
- Microfluidics
- Suspension rheometry
- Molecular dynamics
Work Packages
These complementary methods will be employed through four work packages covering various viscous, hard, soft materials, as well as applied flow.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 1.999.348 |
Totale projectbegroting | € 1.999.348 |
Tijdlijn
Startdatum | 1-1-2023 |
Einddatum | 31-12-2027 |
Subsidiejaar | 2023 |
Partners & Locaties
Projectpartners
- CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRSpenvoerder
Land(en)
Vergelijkbare projecten binnen European Research Council
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Interaction of Elasto-inertial Turbulence and material microstructure – INTER-ET
The INTER-ET project aims to advance the understanding of elastic turbulence in complex fluids through innovative simulations and experiments, enhancing mixing and heat transfer for various applications.
PrEdicting Nucleation to support next-generation microtechnology: Diffuse Interface, fluctuating hydrodynamics and rare events.
E-Nucl aims to revolutionize fluid dynamics by integrating rare-event techniques with multiphase modeling to enhance understanding of nucleation and phase transitions for advanced microtechnologies.
Brownian particles in nonequilibrium baths
The project aims to explore the effects of nonequilibrium thermal baths on colloidal particle behavior and develop applications for information erasure and novel microscopic engines.
The Spectrum of Fluctuations in Living Matter
This project aims to develop a theoretical framework for predicting active fluctuations in living matter by analyzing subcellular and tissue-scale dynamics, enhancing our understanding of biological processes.
Programmable Active Matter
This project aims to develop a controlled in-vitro system using biological components to study phase transitions in living matter, enhancing understanding of self-organization and potential industrial applications.
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