Active microrheology: Brownian motion, strong forces and viscoelastic media

Size: px
Start display at page:

Download "Active microrheology: Brownian motion, strong forces and viscoelastic media"

Transcription

1 OR1394 DFG Research Unit Nonlinear Response to Probe Vitrification Active microrheology: Brownian motion, strong forces and viscoelastic media Matthias Fuchs Fachbereich Physik, Universität Konstanz New Frontiers in Non-equilibrium Statistical Physics 2015

2 Outline Intro to dense colloidal dispersions Active microrheology: Theory Delocalization transition Length Scales & Populations Steady state motion Transient dynamics 2 / 33

3 to dense colloidal dispersions Intro to dense colloidal dispersions Intro 3 / 33

4 Brownian motion Stokes Einstein Sutherland: D 0 = k BT ζ 0 mean squared displacement (r(t) r(0)) 2 = 6D 0 t 4 / 33

5 Displacement fluctuations in glass Binary glass in d = 2 finite displacements h(ri (t) r i )2 i < with center of trajectory: R t 1 r i = t 0 dt ri (t) [Klix, Ebert, Weysser, MF, Maret, Keim, Phys. Rev. Lett.109, (2012) ] 5 / 33

6 microrheology: Theory Active microrheology: Theory Active 6 / 33

7 Active microrheology Hard-sphere suspension Fluid and glass states probe x z Probe displacement under strong forces Tails, heterogeneities etc. Parameters: φ and F d host volume fraction φ F >> kt/d 7 / 33

8 Microscopic (statistical) description Model: Interacting Brownian particles, no HI (D 0 = k BT ζ 0 ) Smoluchowski equation: Micro rheology t Ψ = Ω Ψ Ω = N D 0 i ( i βf i ) + D s s ( s βf s ) D s s F ex i ITT force-velocity relation (nonlinear, exact) ζ v t =F ex, ζ = ζ k B T 0 dt F s e Ω irr t F s (e) [ Gazuz, Puertas, Voigtmann, MF, Phys. Rev. Lett. 102, (2009)] 8 / 33

9 Microscopic (statistical) description (II) Mode coupling approximation: r, t F G s (r, t) Fourier transform Φ s q(t) t = 0 probe distribution function probe correlator Evolution equation: t Φ s q(t) + 1 τ q (F ) Φs q(t) + Parallel relaxation channels : t 0 m q (t t ) t Φ s q(t )dt = 0 m q (t) = F {Φ s q(t), Φ host q (t), F } Input (full MCT): Equilibrium structure of the host at φ [ Lang et al., PRL 105, (2010)] 9 / 33

10 transition Delocalization transition Delocalization 10 / 33

11 Tracer Nonergodicity Parameter in Real Space f s (r, t) = limt ρs (r, t) ϕ = / 33

12 Delocalization transition: phase diagram (MCT) glassy host delocalized probe fluid host glassy host localized probe 12 / 33

13 Delocalization transition φ = type B transition 13 / 33

14 Scales & Populations Length Scales & Populations Length 14 / 33

15 Exponential tails Glassy host F threshold localized probe MCT, φ = Marginal probability distribution parallel to the force [A. Puertas (U. Almeria), unpublished] 15 / 33

16 Probe distribution function G s (z, t ) Localized probe G tail s [ exp z ] ξ(f ) Growing correlation length ξ 16 / 33

17 state motion Steady state motion Steady 17 / 33

18 Probe motion in force direction: average drift δz(t) GLASSY HOST MCT φ = x F z δz(t) [d] 10 4 F = 10 [kt/d] 10 3 F = 20 delocalized probe F = F = 35 t 10 1 F = 40 F = 45 F 10 0 F = 50 localized probe t [d 2 /D 0 ] Delocalization transition 18 / 33

19 Probe motion in force direction: average drift δz(t) FLUID HOST MCT φ = x F z δz(t) [d] F [kt/d] = 1 F = 5 F = 10 F = 20 F = 30 F = 40 F = t [d 2 /D 0 ] t ---- linear response (FDT) Steady probe velocity for long times friction coefficient 19 / 33

20 Nonlinear friction coefficient: v = [ζ(f )] 1 F x z F ζ = ζ(f ) Force-thinning ζ/ζ φ φ = (fluid) (fluid) (fluid) (glass) (glass) (LD Sim.) F [kt/d] F critical 20 / 33

21 Probe motion in perpendicular direction: δx 2 (t) GLASSY HOST x F z δx 2 (t) [d 2 ] F = 10 [kt/d] F = 20 F = 30 F = 35 F = 40 F = 45 F = 50 F D orth t delocalized probe localized probe MCT φ = t [d 2 /D 0 ] Delocalization transition Diffusive motion for long times 21 / 33

22 Nonlinear diffusion coefficient - perpendicular direction δx 2 D orth t x z F D orth /D φ = (fluid) (fluid) (fluid) (glassy) (glassy) (LD Sim.) φ 10-5 F critical F [kt/d] Orthogonal diffusion enhanced by increasing F 22 / 33

23 Stokes-Einstein Relation Equilibrium: D(ϕ)ζ(ϕ) kt Nonequilibrium: D orth (ϕ, F )ζ(ϕ, F ) kt = 1 = α(ϕ, F ) α φ = (fluid) (fluid) (fluid) (glassy) (glassy) 0.62 (LD sim.) F [kt/d] 23 / 33

24 dynamics Transient dynamics Transient 24 / 33

25 Probe motion in force direction: superdiffusion MD Simulations - Yukawa mixture Winter et al., PRL 108 (2012) MSD δz 2 (t) [δz(t)] 2 x F z MSD (parallel) 25 / 33

26 Probe motion in force direction: superdiffusion Langevin Dynamics simulations φ = 0.62 MSD δz 2 (t) [δz(t)] 2 x F z δz 2 (t) - [δz(t)] 2 [d 2 ] F = 40 [kt/d] F = 50 F = 60 F = 70 F = 80 F = 100 F = 120 F = 200 t t [d 2 /D 0 ] [A. Puertas (U. Almeria), unpublished] 26 / 33

27 Probe motion in force direction: superdiffusion Brownian Dynamics simulations (2D) MSD δz 2 (t) [δz(t)] 2 x z F 27 / 33

28 Evolution of the probe distribution function G s (z, t) Delocalized probe G s (z,t) t [d 2 /D 0 ] = t z [d] 28 / 33

29 Evolution of G s (z, t): Delocalized probe MCT, φ = 0.537, F = 50kT/d G s (z,t) t [d 2 /D 0 ] = t LD Simulations, φ = 0.62, F = 100kT/d G s (z,t) t [d 2 /D 0 ] = z [d] z [d] [A. Puertas (U. Almeria), unpublished] 29 / 33

30 Trajectories Brownian dynamics simulations individual trajectories in the glassy host intermittent dynamics ζ s ϕ= 0.79 ϕ = F ex d [Harrer, unpublished] 30 / 33

31 Evolution of Gs (z, t): Delocalized probe 100 Gs(z,t) Probe trajectories Brownian dynamics simulations t [d2/d0] = t z [d] Active and inactive probes F 31 / 33

32 Conclusions micro-rheology delocalization threshold Fc ex force-induced diffusion force two population behavior close to depinning rare large excursions on diverging length scale k B T/σ 32 / 33

33 Acknowledgements Gustavo Abade, Markus Gruber (Konstanz) Antonio Puertas (Almeria) Thomas Voigtmann (DLR, Düsseldorf) Igor Gazuz, Christian Harrer, Manuel Gnann (Konstanz) David Winter, Jürgen Horbach (Düsseldorf) movies/discussion: Peter Keim (Konstanz), Stefan Egelhaaf (Düsseldorf), Rut Besseling (Edinburgh), Eric Weeks (Emory) DFG Research Unit Nonlinear Response to Probe Vitrification Thank you for your attention 33 / 33

Force-induced diffusion in microrheology

Force-induced diffusion in microrheology Force-induced diffusion in microrheology Ch J Harrer 1, D Winter 2, J Horbach 3, M Fuchs 1 and Th Voigtmann 1,4,5 1 Fachbereich Physik, Universität Konstanz, 78457 Konstanz, Germany 2 Institut für Physik,

More information

Recent advances on glass-forming systems driven far from equilibrium

Recent advances on glass-forming systems driven far from equilibrium Eur. Phys. J. Special Topics 226, 2991 2996 (2017) EDP Sciences, Springer-Verlag 2017 DOI: 10.1140/epjst/e2017-70088-2 THE EUROPEAN PHYSICAL JOURNAL SPECIAL TOPICS Editorial Recent advances on glass-forming

More information

Long-range correlations in glasses and glassy fluids, and their connection to glasses elasticity

Long-range correlations in glasses and glassy fluids, and their connection to glasses elasticity Long-range correlations in glasses and glassy fluids, and their connection to glasses elasticity Grzegorz Szamel Department of Chemistry Colorado State University Ft. Collins, CO 80523, USA Workshop on

More information

Anomalous Transport and Fluctuation Relations: From Theory to Biology

Anomalous Transport and Fluctuation Relations: From Theory to Biology Anomalous Transport and Fluctuation Relations: From Theory to Biology Aleksei V. Chechkin 1, Peter Dieterich 2, Rainer Klages 3 1 Institute for Theoretical Physics, Kharkov, Ukraine 2 Institute for Physiology,

More information

Nonequilibrium transitions in glassy flows. Peter Schall University of Amsterdam

Nonequilibrium transitions in glassy flows. Peter Schall University of Amsterdam Nonequilibrium transitions in glassy flows Peter Schall University of Amsterdam Liquid or Solid? Liquid or Solid? Example: Pitch Solid! 1 day 1 year Menkind 10-2 10 0 10 2 10 4 10 6 10 8 10 10 10 12 10

More information

Thermal fluctuations, mechanical response, and hyperuniformity in jammed solids

Thermal fluctuations, mechanical response, and hyperuniformity in jammed solids Thermal fluctuations, mechanical response, and hyperuniformity in jammed solids Atsushi Ikeda Fukui Institute for Fundamental Chemistry, Kyoto University Atsushi Ikeda & Ludovic Berthier Phys. Rev. E 92,

More information

Group of Complex Fluids Physics, Departamento de Física Aplicada, Universidad de Almería.

Group of Complex Fluids Physics, Departamento de Física Aplicada, Universidad de Almería. 1 GLASSES IN COLLOIDAL SYSTEMS. ATTRACTIVE INTERACTIONS AND GELATION. Antonio M. Puertas Group of Complex Fluids Physics, Departamento de Física Aplicada, Universidad de Almería. 04120 Almería, Andalucía,

More information

GEM4 Summer School OpenCourseWare

GEM4 Summer School OpenCourseWare GEM4 Summer School OpenCourseWare http://gem4.educommons.net/ http://www.gem4.org/ Lecture: Microrheology of a Complex Fluid by Dr. Peter So. Given August 10, 2006 during the GEM4 session at MIT in Cambridge,

More information

arxiv: v1 [cond-mat.soft] 9 Apr 2015

arxiv: v1 [cond-mat.soft] 9 Apr 2015 epl draft Thinning and thickening in active microrheology Ting Wang and Matthias Sperl Institut für Materialphysik im Weltraum, Deutsches Zentrum für Luft- und Raumfahrt (DLR), 57 Köln, Germany arxiv:54.77v

More information

Aging in laponite water suspensions. P. K. Bhattacharyya Institute for Soldier Nanotechnologies Massachusetts Institute of Technology

Aging in laponite water suspensions. P. K. Bhattacharyya Institute for Soldier Nanotechnologies Massachusetts Institute of Technology Aging in laponite water suspensions. P. K. Bhattacharyya Institute for Soldier Nanotechnologies Massachusetts Institute of Technology Outline Laponite Basic background. Laponite in suspension Bonn et al.,

More information

Modeling of Micro-Fluidics by a Dissipative Particle Dynamics Method. Justyna Czerwinska

Modeling of Micro-Fluidics by a Dissipative Particle Dynamics Method. Justyna Czerwinska Modeling of Micro-Fluidics by a Dissipative Particle Dynamics Method Justyna Czerwinska Scales and Physical Models years Time hours Engineering Design Limit Process Design minutes Continious Mechanics

More information

Supporting Information. Even Hard Sphere Colloidal Suspensions Display. Fickian yet Non-Gaussian Diffusion

Supporting Information. Even Hard Sphere Colloidal Suspensions Display. Fickian yet Non-Gaussian Diffusion Supporting Information Even Hard Sphere Colloidal Suspensions Display Fickian yet Non-Gaussian Diffusion Juan Guan, a Bo Wang, a and Steve Granick a,b,c,* Departments of Materials Science, a Chemistry,

More information

BROWNIAN DYNAMICS SIMULATIONS WITH HYDRODYNAMICS. Abstract

BROWNIAN DYNAMICS SIMULATIONS WITH HYDRODYNAMICS. Abstract BROWNIAN DYNAMICS SIMULATIONS WITH HYDRODYNAMICS Juan J. Cerdà 1 1 Institut für Computerphysik, Pfaffenwaldring 27, Universität Stuttgart, 70569 Stuttgart, Germany. (Dated: July 21, 2009) Abstract - 1

More information

Anomalous Lévy diffusion: From the flight of an albatross to optical lattices. Eric Lutz Abteilung für Quantenphysik, Universität Ulm

Anomalous Lévy diffusion: From the flight of an albatross to optical lattices. Eric Lutz Abteilung für Quantenphysik, Universität Ulm Anomalous Lévy diffusion: From the flight of an albatross to optical lattices Eric Lutz Abteilung für Quantenphysik, Universität Ulm Outline 1 Lévy distributions Broad distributions Central limit theorem

More information

cooperative motion in sheared granular matter Takahiro Hatano

cooperative motion in sheared granular matter Takahiro Hatano cooperative motion in sheared granular matter Takahiro Hatano (Earthquake Research Institute, University of Tokyo) amorphous particulate systems: structure? 2D granular matter close to jamming spontaneous

More information

Rheology of concentrated hard-sphere suspensions

Rheology of concentrated hard-sphere suspensions Rheology of concentrated hard-sphere suspensions Complex behaviour in a simple system Wilson Poon School of Physics & Astronomy, The University of Edinburgh Rut Besseling Lucio Isa ( ETH, Zürich) Khoa

More information

Theory of fractional Lévy diffusion of cold atoms in optical lattices

Theory of fractional Lévy diffusion of cold atoms in optical lattices Theory of fractional Lévy diffusion of cold atoms in optical lattices, Erez Aghion, David Kessler Bar-Ilan Univ. PRL, 108 230602 (2012) PRX, 4 011022 (2014) Fractional Calculus, Leibniz (1695) L Hospital:

More information

Active microrheology of colloidal suspensions: simulation and microstructural theory arxiv: v1 [cond-mat.

Active microrheology of colloidal suspensions: simulation and microstructural theory arxiv: v1 [cond-mat. Active microrheology of colloidal suspensions: simulation and microstructural theory arxiv:59.7v [cond-mat.soft] 3 Sep 5 Ehssan Nazockdast () and Jeffrey F. Morris () () Courant Institute of Mathematical

More information

Non-equilibrium phenomena and fluctuation relations

Non-equilibrium phenomena and fluctuation relations Non-equilibrium phenomena and fluctuation relations Lamberto Rondoni Politecnico di Torino Beijing 16 March 2012 http://www.rarenoise.lnl.infn.it/ Outline 1 Background: Local Thermodyamic Equilibrium 2

More information

Fluctuations in the aging dynamics of structural glasses

Fluctuations in the aging dynamics of structural glasses Fluctuations in the aging dynamics of structural glasses Horacio E. Castillo Collaborator: Azita Parsaeian Collaborators in earlier work: Claudio Chamon Leticia F. Cugliandolo José L. Iguain Malcolm P.

More information

arxiv: v1 [cond-mat.soft] 29 Nov 2012

arxiv: v1 [cond-mat.soft] 29 Nov 2012 Overshoots in stress strain curves: Colloid experiments and schematic mode coupling theory Christian P. Amann, a) Miriam Siebenbürger, Matthias Krüger, Fabian Weysser, Matthias Ballauff,, and Matthias

More information

Weak Ergodicity Breaking. Manchester 2016

Weak Ergodicity Breaking. Manchester 2016 Weak Ergodicity Breaking Eli Barkai Bar-Ilan University Burov, Froemberg, Garini, Metzler PCCP 16 (44), 24128 (2014) Akimoto, Saito Manchester 2016 Outline Experiments: anomalous diffusion of single molecules

More information

ROBERT BROWN AND THE POLLEN STUFF

ROBERT BROWN AND THE POLLEN STUFF ROBERT BROWN AND THE POLLEN STUFF P. Hänggi Institut für Physik Universität Augsburg Robert Brown (1773-1858) This is the view Brown obtained in 1828, when he first recognised the cell nucleus. It shows

More information

Experimental Colloids I (and I)

Experimental Colloids I (and I) Experimental Colloids I (and I) Dave Weitz Harvard http://www.seas.harvard.edu/projects/weitzlab Boulder Summer School 7/24/17 Experimental Colloids I (and I) Dave Weitz Harvard http://www.seas.harvard.edu/projects/weitzlab

More information

Direct observation of dynamical heterogeneities near the attraction driven glass

Direct observation of dynamical heterogeneities near the attraction driven glass Direct observation of dynamical heterogeneities near the attraction driven glass Maria Kilfoil McGill University Co-worker: Yongxiang Gao, PhD student http://www.physics.mcgill.ca/~kilfoil Dynamical heterogeneity

More information

MD Thermodynamics. Lecture 12 3/26/18. Harvard SEAS AP 275 Atomistic Modeling of Materials Boris Kozinsky

MD Thermodynamics. Lecture 12 3/26/18. Harvard SEAS AP 275 Atomistic Modeling of Materials Boris Kozinsky MD Thermodynamics Lecture 1 3/6/18 1 Molecular dynamics The force depends on positions only (not velocities) Total energy is conserved (micro canonical evolution) Newton s equations of motion (second order

More information

Mesoscale Simulation Methods. Ronojoy Adhikari The Institute of Mathematical Sciences Chennai

Mesoscale Simulation Methods. Ronojoy Adhikari The Institute of Mathematical Sciences Chennai Mesoscale Simulation Methods Ronojoy Adhikari The Institute of Mathematical Sciences Chennai Outline What is mesoscale? Mesoscale statics and dynamics through coarse-graining. Coarse-grained equations

More information

Critical Phenomena under Shear Flow

Critical Phenomena under Shear Flow Critical Phenomena under Shear Flow Pavlik Lettinga, Hao Wang, Jan K.G. Dhont Close to a gas-liquid critical point, effective interactions between particles become very long ranged, and the dynamics of

More information

Origins of Mechanical and Rheological Properties of Polymer Nanocomposites. Venkat Ganesan

Origins of Mechanical and Rheological Properties of Polymer Nanocomposites. Venkat Ganesan Department of Chemical Engineering University of Texas@Austin Origins of Mechanical and Rheological Properties of Polymer Nanocomposites Venkat Ganesan $$$: NSF DMR, Welch Foundation Megha Surve, Victor

More information

Colloidal glass transition. Studying the glass transition with confocal microscopy Eric R. Weeks Emory University (Physics)

Colloidal glass transition. Studying the glass transition with confocal microscopy Eric R. Weeks Emory University (Physics) Studying the glass transition with confocal microscopy Eric R. Weeks Emory University (Physics) Piotr Habdas (now at St. Joseph s U.) Rachel Courtland (now at UC Santa Cruz) Kazem Edmond Carrie Nugent

More information

Nonlinear viscoelasticity of metastable complex fluids

Nonlinear viscoelasticity of metastable complex fluids EUROPHYSICS LETTERS 15 September 2006 Europhys. Lett., 75 (6), pp. 915 921 (2006) DOI: 10.1209/epl/i2006-10203-9 Nonlinear viscoelasticity of metastable complex fluids K. Miyazaki 1, H. M. Wyss 2, D. A.

More information

Quantum measurement theory and micro-macro consistency in nonequilibrium statistical mechanics

Quantum measurement theory and micro-macro consistency in nonequilibrium statistical mechanics Nagoya Winter Workshop on Quantum Information, Measurement, and Quantum Foundations (Nagoya, February 18-23, 2010) Quantum measurement theory and micro-macro consistency in nonequilibrium statistical mechanics

More information

Hydrodynamics, Thermodynamics, and Mathematics

Hydrodynamics, Thermodynamics, and Mathematics Hydrodynamics, Thermodynamics, and Mathematics Hans Christian Öttinger Department of Mat..., ETH Zürich, Switzerland Thermodynamic admissibility and mathematical well-posedness 1. structure of equations

More information

The Truth about diffusion (in liquids)

The Truth about diffusion (in liquids) The Truth about diffusion (in liquids) Aleksandar Donev Courant Institute, New York University & Eric Vanden-Eijnden, Courant In honor of Berni Julian Alder LLNL, August 20th 2015 A. Donev (CIMS) Diffusion

More information

Spatially heterogeneous dynamics in supercooled organic liquids

Spatially heterogeneous dynamics in supercooled organic liquids Spatially heterogeneous dynamics in supercooled organic liquids Stephen Swallen, Marcus Cicerone, Marie Mapes, Mark Ediger, Robert McMahon, Lian Yu UW-Madison NSF Chemistry 1 Image from Weeks and Weitz,

More information

Statistical Mechanics of Jamming

Statistical Mechanics of Jamming Statistical Mechanics of Jamming Lecture 1: Timescales and Lengthscales, jamming vs thermal critical points Lecture 2: Statistical ensembles: inherent structures and blocked states Lecture 3: Example of

More information

Anomalous diffusion in biology: fractional Brownian motion, Lévy flights

Anomalous diffusion in biology: fractional Brownian motion, Lévy flights Anomalous diffusion in biology: fractional Brownian motion, Lévy flights Jan Korbel Faculty of Nuclear Sciences and Physical Engineering, CTU, Prague Minisymposium on fundamental aspects behind cell systems

More information

Part III. Polymer Dynamics molecular models

Part III. Polymer Dynamics molecular models Part III. Polymer Dynamics molecular models I. Unentangled polymer dynamics I.1 Diffusion of a small colloidal particle I.2 Diffusion of an unentangled polymer chain II. Entangled polymer dynamics II.1.

More information

Turbulent Flows. g u

Turbulent Flows. g u .4 g u.3.2.1 t. 6 4 2 2 4 6 Figure 12.1: Effect of diffusion on PDF shape: solution to Eq. (12.29) for Dt =,.2,.2, 1. The dashed line is the Gaussian with the same mean () and variance (3) as the PDF at

More information

In-depth analysis of viscoelastic properties thanks to Microrheology: non-contact rheology

In-depth analysis of viscoelastic properties thanks to Microrheology: non-contact rheology In-depth analysis of viscoelastic properties thanks to Microrheology: non-contact rheology Application All domains dealing with soft materials (emulsions, suspensions, gels, foams, polymers, etc ) Objective

More information

Non equilibrium thermodynamics: foundations, scope, and extension to the meso scale. Miguel Rubi

Non equilibrium thermodynamics: foundations, scope, and extension to the meso scale. Miguel Rubi Non equilibrium thermodynamics: foundations, scope, and extension to the meso scale Miguel Rubi References S.R. de Groot and P. Mazur, Non equilibrium Thermodynamics, Dover, New York, 1984 J.M. Vilar and

More information

Brownian motion and the Central Limit Theorem

Brownian motion and the Central Limit Theorem Brownian motion and the Central Limit Theorem Amir Bar January 4, 3 Based on Shang-Keng Ma, Statistical Mechanics, sections.,.7 and the course s notes section 6. Introduction In this tutorial we shall

More information

Irreversibility and the arrow of time in a quenched quantum system. Eric Lutz Department of Physics University of Erlangen-Nuremberg

Irreversibility and the arrow of time in a quenched quantum system. Eric Lutz Department of Physics University of Erlangen-Nuremberg Irreversibility and the arrow of time in a quenched quantum system Eric Lutz Department of Physics University of Erlangen-Nuremberg Outline 1 Physics far from equilibrium Entropy production Fluctuation

More information

Entropic barriers, activated hopping, and the glass transition in colloidal suspensions

Entropic barriers, activated hopping, and the glass transition in colloidal suspensions JOURNAL OF CHEMICAL PHYSICS VOLUME 119, NUMBER 2 8 JULY 2003 Entropic barriers, activated hopping, and the glass transition in colloidal suspensions Kenneth S. Schweizer a) and Erica J. Saltzman Departments

More information

Major Concepts Langevin Equation

Major Concepts Langevin Equation Major Concepts Langevin Equation Model for a tagged subsystem in a solvent Harmonic bath with temperature, T Friction & Correlated forces (FDR) Markovian/Ohmic vs. Memory Chemical Kinetics Master equation

More information

4. The Green Kubo Relations

4. The Green Kubo Relations 4. The Green Kubo Relations 4.1 The Langevin Equation In 1828 the botanist Robert Brown observed the motion of pollen grains suspended in a fluid. Although the system was allowed to come to equilibrium,

More information

Direct observation of aggregative nanoparticle growth: Kinetic modeling of the size distribution and growth rate

Direct observation of aggregative nanoparticle growth: Kinetic modeling of the size distribution and growth rate Direct observation of aggregative nanoparticle growth: Kinetic modeling of the size distribution and growth rate Taylor J. Woehl, * Chiwoo Park, James E. Evans, Ilke Arslan, William D. Ristenpart, and

More information

Interfaces with short-range correlated disorder: what we learn from the Directed Polymer

Interfaces with short-range correlated disorder: what we learn from the Directed Polymer Interfaces with short-range correlated disorder: what we learn from the Directed Polymer Elisabeth Agoritsas (1), Thierry Giamarchi (2) Vincent Démery (3), Alberto Rosso (4) Reinaldo García-García (3),

More information

Fractional Derivatives and Fractional Calculus in Rheology, Meeting #3

Fractional Derivatives and Fractional Calculus in Rheology, Meeting #3 Fractional Derivatives and Fractional Calculus in Rheology, Meeting #3 Metzler and Klafter. (22). From stretched exponential to inverse power-law: fractional dynamics, Cole Cole relaxation processes, and

More information

Diffusing-wave spectroscopy: From particle sizing to micro-rheology. Prof. Yacine Hemar Food Group School of Chemical Sciences

Diffusing-wave spectroscopy: From particle sizing to micro-rheology. Prof. Yacine Hemar Food Group School of Chemical Sciences Diffusing-wave spectroscopy: From particle sizing to micro-rheology Prof. Yacine Hemar Food Group School of Chemical Sciences Food physics context Importance of structure-function relationships Cost-saving

More information

Overshoots in stress-strain curves: Colloid experiments and schematic mode coupling theory

Overshoots in stress-strain curves: Colloid experiments and schematic mode coupling theory Overshoots in stress-strain curves: Colloid experiments and schematic mode coupling theory Christian P. Amann a) Fachbereich Physik, Universit at Konstanz, 78457 Konstanz, Germany Miriam Siebenb urger

More information

One- and two-particle microrheology in solutions of actin, fd-virus and inorganic rods

One- and two-particle microrheology in solutions of actin, fd-virus and inorganic rods Microrheology of Biopolymers (ITP Complex Fluids Program 3/05/02) One- and two-particle microrheology in solutions of actin, fd-virus and inorganic rods Christoph Schmidt Vrije Universiteit Amsterdam Collaborators:

More information

Correlation of Two Coupled Particles in Viscoelastic Medium

Correlation of Two Coupled Particles in Viscoelastic Medium Commun. Theor. Phys. (Beijing, China 46 (006 pp. 353 36 c International Academic Publishers Vol. 46, No., August 5, 006 Correlation of Two Coupled Particles in Viscoelastic Medium XIE Bai-Song,,,4 WU Hai-Cheng,,

More information

The yielding transition in periodically sheared binary glasses at finite temperature. Nikolai V. Priezjev

The yielding transition in periodically sheared binary glasses at finite temperature. Nikolai V. Priezjev The yielding transition in periodically sheared binary glasses at finite temperature Nikolai V. Priezjev 5 March, 2018 Department of Mechanical and Materials Engineering Wright State University Movies,

More information

Clusters in granular flows : elements of a non-local rheology

Clusters in granular flows : elements of a non-local rheology CEA-Saclay/SPEC; Group Instabilities and Turbulence Clusters in granular flows : elements of a non-local rheology Olivier Dauchot together with many contributors: D. Bonamy, E. Bertin, S. Deboeuf, B. Andreotti,

More information

Protein Dynamics, Allostery and Function

Protein Dynamics, Allostery and Function Protein Dynamics, Allostery and Function Lecture 3. Protein Dynamics Xiaolin Cheng UT/ORNL Center for Molecular Biophysics SJTU Summer School 2017 1 Obtaining Dynamic Information Experimental Approaches

More information

Entanglements. M < M e. M > M e. Rouse. Zero-shear viscosity vs. M (note change of slope) Edwards degennes Doi. Berry + Fox, slope 3.4.

Entanglements. M < M e. M > M e. Rouse. Zero-shear viscosity vs. M (note change of slope) Edwards degennes Doi. Berry + Fox, slope 3.4. Entanglements Zero-shear viscosity vs. M (note change of slope) M < M e Rouse slope 3.4 M > M e Edwards degennes Doi slope 1 Berry + Fox, 1968 Question: Which factors affect the Me: T, P, M, flexibility,

More information

Sliding Friction in the Frenkel-Kontorova Model

Sliding Friction in the Frenkel-Kontorova Model arxiv:cond-mat/9510058v1 12 Oct 1995 to appear in "The Physics of Sliding Friction", Ed. B.N.J. Persson (Kluwer Academic Publishers), 1995 Sliding Friction in the Frenkel-Kontorova Model E. Granato I.N.P.E.,

More information

Glass Transition as the Rheological Inverse of Gelation

Glass Transition as the Rheological Inverse of Gelation NNF Summer reading group, July 18 th 2017 Glass Transition as the Rheological Inverse of Gelation ACS Macromolecules 46, 2425-2432 (2013) H Henning Winter Department of Chemical Engineering and Department

More information

Polymer Dynamics. Tom McLeish. (see Adv. Phys., 51, , (2002)) Durham University, UK

Polymer Dynamics. Tom McLeish. (see Adv. Phys., 51, , (2002)) Durham University, UK Polymer Dynamics Tom McLeish Durham University, UK (see Adv. Phys., 51, 1379-1527, (2002)) Boulder Summer School 2012: Polymers in Soft and Biological Matter Schedule Coarse-grained polymer physics Experimental

More information

Nonequilibrium transitions in glassy flows II. Peter Schall University of Amsterdam

Nonequilibrium transitions in glassy flows II. Peter Schall University of Amsterdam Nonequilibrium transitions in glassy flows II Peter Schall University of Amsterdam Flow of glasses 1st Lecture Glass Phenomenology Basic concepts: Free volume, Dynamic correlations Apply Shear Glass? Soft

More information

This is a Gaussian probability centered around m = 0 (the most probable and mean position is the origin) and the mean square displacement m 2 = n,or

This is a Gaussian probability centered around m = 0 (the most probable and mean position is the origin) and the mean square displacement m 2 = n,or Physics 7b: Statistical Mechanics Brownian Motion Brownian motion is the motion of a particle due to the buffeting by the molecules in a gas or liquid. The particle must be small enough that the effects

More information

Diffusive Transport Enhanced by Thermal Velocity Fluctuations

Diffusive Transport Enhanced by Thermal Velocity Fluctuations Diffusive Transport Enhanced by Thermal Velocity Fluctuations Aleksandar Donev 1 Courant Institute, New York University & Alejandro L. Garcia, San Jose State University John B. Bell, Lawrence Berkeley

More information

On the Asymptotic Convergence. of the Transient and Steady State Fluctuation Theorems. Gary Ayton and Denis J. Evans. Research School Of Chemistry

On the Asymptotic Convergence. of the Transient and Steady State Fluctuation Theorems. Gary Ayton and Denis J. Evans. Research School Of Chemistry 1 On the Asymptotic Convergence of the Transient and Steady State Fluctuation Theorems. Gary Ayton and Denis J. Evans Research School Of Chemistry Australian National University Canberra, ACT 0200 Australia

More information

From a Mesoscopic to a Macroscopic Description of Fluid-Particle Interaction

From a Mesoscopic to a Macroscopic Description of Fluid-Particle Interaction From a Mesoscopic to a Macroscopic Description of Fluid-Particle Interaction Carnegie Mellon University Center for Nonlinear Analysis Working Group, October 2016 Outline 1 Physical Framework 2 3 Free Energy

More information

Dresden, September 20-24, 2010 by Hartmut Löwen

Dresden, September 20-24, 2010 by Hartmut Löwen Computer simulations of colloidal dispersions Outline 1) Introduction 2) Colloidal sedimentation 3) Lane formation in driven colloids 4) Band formation in oscillatory fields 5) Lane formation in complex

More information

Non-Markovian Quantum Dynamics of Open Systems: Foundations and Perspectives

Non-Markovian Quantum Dynamics of Open Systems: Foundations and Perspectives Non-Markovian Quantum Dynamics of Open Systems: Foundations and Perspectives Heinz-Peter Breuer Universität Freiburg QCCC Workshop, Aschau, October 2007 Contents Quantum Markov processes Non-Markovian

More information

arxiv:cond-mat/ v1 8 Nov 2005

arxiv:cond-mat/ v1 8 Nov 2005 Test of the Stokes-Einstein relation in a two-dimensional Yukawa liquid Bin Liu and J. Goree Department of Physics and Astronomy, The University of Iowa, Iowa City, Iowa 52242 arxiv:cond-mat/0511209 v1

More information

Energy dissipating structures generated by dipole-wall collisions at high Reynolds number

Energy dissipating structures generated by dipole-wall collisions at high Reynolds number Energy dissipating structures generated by dipole-wall collisions at high Reynolds number Duncan Sutherland 1 Charlie Macaskill 1 David Dritschel 2 1. School of Mathematics and Statistics University of

More information

15.3 The Langevin theory of the Brownian motion

15.3 The Langevin theory of the Brownian motion 5.3 The Langevin theory of the Brownian motion 593 Now, by virtue of the distribution (2), we obtain r(t) =; r 2 (t) = n(r,t)4πr 4 dr = 6Dt t, (22) N in complete agreement with our earlier results, namely

More information

Polymer Dynamics and Rheology

Polymer Dynamics and Rheology Polymer Dynamics and Rheology 1 Polymer Dynamics and Rheology Brownian motion Harmonic Oscillator Damped harmonic oscillator Elastic dumbbell model Boltzmann superposition principle Rubber elasticity and

More information

The Large Amplitude Oscillatory Strain Response of Aqueous Foam: Strain Localization and Full Stress Fourier Spectrum

The Large Amplitude Oscillatory Strain Response of Aqueous Foam: Strain Localization and Full Stress Fourier Spectrum The Large Amplitude Oscillatory Strain Response of Aqueous Foam: Strain Localization and Full Stress Fourier Spectrum By F. Rouyer, S. Cohen-Addad, R. Höhler, P. Sollich, and S.M. Fielding The European

More information

XPCS and Shear Flow. Wesley Burghardt Department of Chemical & Biological Engineering Northwestern University

XPCS and Shear Flow. Wesley Burghardt Department of Chemical & Biological Engineering Northwestern University XPCS and Shear Flow Wesley Burghardt Department of Chemical & Biological Engineering Northwestern University Outline Background: XPCS & rheology XPCS during shear Unidirectional shear flow Oscillatory

More information

Entropic Crystal-Crystal Transitions of Brownian Squares K. Zhao, R. Bruinsma, and T.G. Mason

Entropic Crystal-Crystal Transitions of Brownian Squares K. Zhao, R. Bruinsma, and T.G. Mason Entropic Crystal-Crystal Transitions of Brownian Squares K. Zhao, R. Bruinsma, and T.G. Mason This supplementary material contains the following sections: image processing methods, measurements of Brownian

More information

Dynamical fluctuation effects in glassy colloidal suspensions

Dynamical fluctuation effects in glassy colloidal suspensions Current Opinion in Colloid & Interface Science 12 (2007) 297 306 www.elsevier.com/locate/cocis Dynamical fluctuation effects in glassy colloidal suspensions Kenneth S. Schweizer Department of Materials

More information

Flow of Glasses. Peter Schall University of Amsterdam

Flow of Glasses. Peter Schall University of Amsterdam Flow of Glasses Peter Schall University of Amsterdam Liquid or Solid? Liquid or Solid? Example: Pitch Solid! 1 day 1 year Menkind 10-2 10 0 10 2 10 4 10 6 10 8 10 10 10 12 10 14 sec Time scale Liquid!

More information

Fluid-Particles Interaction Models Asymptotics, Theory and Numerics I

Fluid-Particles Interaction Models Asymptotics, Theory and Numerics I Fluid-Particles Interaction Models Asymptotics, Theory and Numerics I J. A. Carrillo collaborators: T. Goudon (Lille), P. Lafitte (Lille) and F. Vecil (UAB) (CPDE 2005), (JCP, 2008), (JSC, 2008) ICREA

More information

PHYSICAL REVIEW E 72,

PHYSICAL REVIEW E 72, Change in relaxation scenario at the order-disorder transition of a colloidal fluid of hard spheres seen from the Gaussian limit of the self-intermediate scattering function W. van Megen, T. C. Mortensen,

More information

Active Matter Lectures for the 2011 ICTP School on Mathematics and Physics of Soft and Biological Matter Lecture 3: Hydrodynamics of SP Hard Rods

Active Matter Lectures for the 2011 ICTP School on Mathematics and Physics of Soft and Biological Matter Lecture 3: Hydrodynamics of SP Hard Rods Active Matter Lectures for the 2011 ICTP School on Mathematics and Physics of Soft and Biological Matter Lecture 3: of SP Hard Rods M. Cristina Marchetti Syracuse University Baskaran & MCM, PRE 77 (2008);

More information

HIGH FRICTION LIMIT OF THE KRAMERS EQUATION : THE MULTIPLE TIME SCALE APPROACH. Lydéric Bocquet

HIGH FRICTION LIMIT OF THE KRAMERS EQUATION : THE MULTIPLE TIME SCALE APPROACH. Lydéric Bocquet HIGH FRICTION LIMIT OF THE KRAMERS EQUATION : THE MULTIPLE TIME SCALE APPROACH Lydéric Bocquet arxiv:cond-mat/9605186v1 30 May 1996 Laboratoire de Physique, Ecole Normale Supérieure de Lyon (URA CNRS 1325),

More information

Diffusion in the cell

Diffusion in the cell Diffusion in the cell Single particle (random walk) Microscopic view Macroscopic view Measuring diffusion Diffusion occurs via Brownian motion (passive) Ex.: D = 100 μm 2 /s for typical protein in water

More information

Non equilibrium thermodynamic transformations. Giovanni Jona-Lasinio

Non equilibrium thermodynamic transformations. Giovanni Jona-Lasinio Non equilibrium thermodynamic transformations Giovanni Jona-Lasinio Kyoto, July 29, 2013 1. PRELIMINARIES 2. RARE FLUCTUATIONS 3. THERMODYNAMIC TRANSFORMATIONS 1. PRELIMINARIES Over the last ten years,

More information

c 2009 Michael Dean Bybee

c 2009 Michael Dean Bybee c 29 Michael Dean Bybee HYDRODYNAMIC SIMULATIONS OF COLLOIDAL GELS: MICROSTRUCTURE, DYNAMICS, AND RHEOLOGY BY MICHAEL DEAN BYBEE B.S., Brigham Young University, 23 M.S., University of Illinois at Urbana-Champaign,

More information

Diffusing-wave-spectroscopy measurements of viscoelasticity of complex fluids

Diffusing-wave-spectroscopy measurements of viscoelasticity of complex fluids Mason et al. Vol. 14, No. 1/January 1997/J. Opt. Soc. Am. A 139 Diffusing-wave-spectroscopy measurements of viscoelasticity of complex fluids T. G. Mason Department of Chemical Engineering, Johns Hopkins

More information

Pair diffusion in quasi-one- and quasi-two-dimensional binary colloid suspensions

Pair diffusion in quasi-one- and quasi-two-dimensional binary colloid suspensions THE JOURNAL OF CHEMICAL PHYSICS 126, 134908 2007 Pair diffusion in quasi-one- and quasi-two-dimensional binary colloid suspensions David T. Valley, Stuart A. Rice, Bianxiao Cui, a and Hau My Ho Department

More information

Heat Transport in Glass-Forming Liquids

Heat Transport in Glass-Forming Liquids Heat Transport in Glass-Forming Liquids by VINAY VAIBHAV The Institute of Mathematical Sciences CIT Campus, Taramani, Chennai 600 113, India. A thesis submitted in partial fulfillment of requirements for

More information

Lagrangian Statistics. of 3D MHD Convection. J. Pratt, W.-C. Müller. Boussinesq Simulation. Lagrangian. simulation. March 1, 2011

Lagrangian Statistics. of 3D MHD Convection. J. Pratt, W.-C. Müller. Boussinesq Simulation. Lagrangian. simulation. March 1, 2011 March 1, 2011 Our approach to the Dynamo Problem dynamo action: amplification of magnetic fields by turbulent flows, generation of large scale structures collaboration with the group of Schüssler et al.

More information

Anomalous diffusion in cells: experimental data and modelling

Anomalous diffusion in cells: experimental data and modelling Anomalous diffusion in cells: experimental data and modelling Hugues BERRY INRIA Lyon, France http://www.inrialpes.fr/berry/ CIMPA School Mathematical models in biology and medicine H. BERRY - Anomalous

More information

Nano Particle Image Velocimetry (npiv); Data Reduction Challenges

Nano Particle Image Velocimetry (npiv); Data Reduction Challenges Nano Particle Image Velocimetry (npiv); Data Reduction Challenges Dr. Reza Sadr Micro Scale Thermo Fluids (MSTF) Laboratory Department of Mechanical Engineering Reza.sadr@qatar.tamu.edu P. O. Box 23874,

More information

From normal to anomalous deterministic diffusion Part 3: Anomalous diffusion

From normal to anomalous deterministic diffusion Part 3: Anomalous diffusion From normal to anomalous deterministic diffusion Part 3: Anomalous diffusion Rainer Klages Queen Mary University of London, School of Mathematical Sciences Sperlonga, 20-24 September 2010 From normal to

More information

Rotational Brownian motion; Fluorescence correlation spectroscpy; Photobleaching and FRET. David A. Case Rutgers, Spring 2009

Rotational Brownian motion; Fluorescence correlation spectroscpy; Photobleaching and FRET. David A. Case Rutgers, Spring 2009 Rotational Brownian motion; Fluorescence correlation spectroscpy; Photobleaching and FRET David A. Case Rutgers, Spring 2009 Techniques based on rotational motion What we studied last time probed translational

More information

3.1 Hydrodynamic interactions in a Gaussian chain

3.1 Hydrodynamic interactions in a Gaussian chain Chapter 3 The Zimm model 3. Hydrodynamic interactions in a Gaussian chain In the previous chapter we have focused on the Rouse chain, which gives a good description of the dynamics of unentangled concentrated

More information

Inhomogeneous elastic response of amorphous solids

Inhomogeneous elastic response of amorphous solids Inhomogeneous elastic response of amorphous solids Jean-Louis Barrat Université de Lyon Institut Universitaire de France Acknowledgements: Anne Tanguy, Fabien Chay Goldenberg, Léonforte, Michel Tsamados

More information

Linear Response in Classical Physics

Linear Response in Classical Physics Linear Response in Classical Physics Wouter G. Ellenbroek Technische Universiteit Eindhoven w.g.ellenbroek@tue.nl Notes (section ) by Fred MacKintosh (Vrije Universiteit), used previously in the 11 DRSTP

More information

Mesoscale fluid simulation of colloidal systems

Mesoscale fluid simulation of colloidal systems Mesoscale fluid simulation of colloidal systems Mingcheng Yang Institute of Physics, CAS Outline (I) Background (II) Simulation method (III) Applications and examples (IV) Summary Background Soft matter

More information

Effective Temperatures in Driven Systems near Jamming

Effective Temperatures in Driven Systems near Jamming Effective Temperatures in Driven Systems near Jamming Andrea J. Liu Department of Physics & Astronomy University of Pennsylvania Tom Haxton Yair Shokef Tal Danino Ian Ono Corey S. O Hern Douglas Durian

More information

Dynamics of Supercooled Liquids The Generic Phase Diagram for Glasses

Dynamics of Supercooled Liquids The Generic Phase Diagram for Glasses Dynamics of Supercooled Liquids The Generic Phase Diagram for Glasses A normal liquid will crystallize at a melting temperature T m as it is cooled via a first-order phase transition (see figure above).

More information

Noise, AFMs, and Nanomechanical Biosensors

Noise, AFMs, and Nanomechanical Biosensors Noise, AFMs, and Nanomechanical Biosensors: Lancaster University, November, 2005 1 Noise, AFMs, and Nanomechanical Biosensors with Mark Paul (Virginia Tech), and the Caltech BioNEMS Collaboration Support:

More information

arxiv:cond-mat/ v2 [cond-mat.soft] 19 May 2004

arxiv:cond-mat/ v2 [cond-mat.soft] 19 May 2004 Europhysics Letters PREPRINT arxiv:cond-mat/0308622v2 [cond-mat.soft] 19 May 2004 Forced motion of a probe particle near the colloidal glass transition P. Habdas, D. Schaar, Andrew C. Levitt and Eric R.

More information

Turbulent Mixing of Passive Tracers on Small Scales in a Channel Flow

Turbulent Mixing of Passive Tracers on Small Scales in a Channel Flow Turbulent Mixing of Passive Tracers on Small Scales in a Channel Flow Victor Steinberg Department of Physics of Complex Systems, The Weizmann Institute of Science, Israel In collaboration with Y. Jun,

More information