Pressure and phase separation in active matter

Size: px
Start display at page:

Download "Pressure and phase separation in active matter"

Transcription

1 1/33 Pressure and phase separation in active matter Alex Solon Technion, November 13th 2016

2 Active matter 2/33 Stored energy Mechanical energy Self-propelled particles

3 Active matter 2/33 Stored energy Mechanical energy Self-propelled particles Found at all scales in living systems sub-cellular cellular macroscopic

4 Active matter Stored energy Mechanical energy Self-propelled particles Found at all scales in living systems sub-cellular cellular macroscopic Active matter = Assemblies of active particles? 2/33

5 Active matter 3/33 Nonequilibrium systems (reversed energy cascade) Rich phenomenology Simple models Universality Numerous experiments

6 Active matter 3/33 Nonequilibrium systems (reversed energy cascade) Rich phenomenology Simple models Universality Numerous experiments v Artificial self-propelled particles Vibrated disks Janus colloids

7 Active matter Bacterial patterns Robot swarms 3/33 Nonequilibrium systems (reversed energy cascade) Rich phenomenology Simple models Universality Numerous experiments v Artificial self-propelled particles Vibrated disks Janus colloids Precisely controlled interactions

8 Active matter Bacterial patterns Robot swarms 3/33 Nonequilibrium systems (reversed energy cascade) Rich phenomenology Simple models Universality Numerous experiments v Artificial self-propelled particles Vibrated disks Janus colloids Precisely controlled interactions Smart materials?

9 Outline Pressure in active fluids Solon, Fily, Baskaran, Cates, Kafri, Kardar, Tailleur, Nat. Physics (2015) Nikola, Solon, Kafri, Kardar, Tailleur, Voituriez, Phys. Rev. Lett. (2016) Motility-induced phase separation Solon, Stenhammar, Wittkowski, Kardar, Kafri, Cates, Tailleur, Phys. Rev. Lett. (2015) Solon, Stenhammar, Cates, Kafri, Tailleur, arxiv (2016) 4/33

10 Active forces 5/33 Cell cortex Wound healing

11 Active forces 5/33 Cell cortex Wound healing Much simpler: active fluid in a box Mechanical pressure

12 From passive to active pressure 6/33 Equilibrium fluid: P = F wall S = Tr σ d = F V N

13 From passive to active pressure 6/33 Equilibrium fluid: P = F wall S = Tr σ d = F V = f (ρ 0, T ) N extensive F Equation of state

14 From passive to active pressure 6/33 Equilibrium fluid: P = F wall S = Tr σ d = F V = f (ρ 0, T ) N extensive F Equation of state Active fluid: no free energy P = F wall S =?

15 Mechanical pressure 7/33 Particles confined by a potential V w ρ(x) V w 0 x w x Mechanical pressure: P = 0 dxρ(x)v w(x)

16 Mechanical pressure 7/33 Particles confined by a potential V w ρ(x) V w 0 x w x Mechanical pressure: P = 0 dxρ(x)v w(x) Vw Ideal gas: ρ(x) = ρ 0 e (x)/kt P = ρ 0 kt

17 Mechanical pressure 7/33 Particles confined by a potential V w ρ(x) V w 0 x w x Mechanical pressure: P = 0 dxρ(x)v w(x) Vw Ideal gas: ρ(x) = ρ 0 e (x)/kt P = ρ 0 kt P independent of V w Equation of state P(ρ 0, T )

18 ABPs et RTPs 8/33 Constant velocity v (no momentum conservation) Two mechanisms for reorientation v v Run and Tumble Particles (RTP) α =tumble rate Active Brownian Particles (ABP) D r =rotational diffusion

19 ABPs et RTPs 8/33 Constant velocity v (no momentum conservation) Two mechanisms for reorientation v v Run and Tumble Particles (RTP) α =tumble rate Two effects from the wall Active Brownian Particles (ABP) D r =rotational diffusion Force V w + Torque Γ w V w Γ w

20 Ideal active gas 9/33 Master equation Compute P = 0 dxρ(x)v w(x)

21 Ideal active gas 9/33 Master equation Compute P = 0 dxρ(x)v w(x) P = ρ 0 kt eff v D r + α v 2 kt eff = 2(D r + α) Ideal gas: exact expression 0 dx 2π 0 dθ Γ w (x, θ) sin(θ)p(x, θ)

22 Ideal active gas 9/33 Master equation Compute P = 0 dxρ(x)v w(x) P = ρ 0 kt eff v D r + α v 2 kt eff = 2(D r + α) Ideal gas: exact expression 0 dx 2π 0 dθ Γ w (x, θ) sin(θ)p(x, θ) P depends on the interaction with the wall: No equation of state

23 Self-propelled ellipses 10/33 Ellipses, axes a and b, rotational diffusion (x xw )2 Harmonic wall V w (x) = λ 2 ŷ p ŷ θ ˆx p ˆx

24 Self-propelled ellipses 10/33 Ellipses, axes a and b, rotational diffusion (x xw )2 Harmonic wall V w (x) = λ 2 ŷ p ŷ θ ˆx p ˆx Torque: Γ w = λκ sin(2θ) κ = (a 2 b 2 )/8

25 Self-propelled ellipses 10/33 Ellipses, axes a and b, rotational diffusion (x xw )2 Harmonic wall V w (x) = λ 2 ŷ p ŷ θ ˆx p ˆx Torque: Γ w = λκ sin(2θ) κ = (a 2 b 2 )/8 P ρ 0v 2 2λκ ] [1 e λκ Dr

26 Ellipses: numerics 11/33 When Γ w increases, P decreases

27 Ellipses: numerics 11/33 When Γ w increases, P decreases Γ w

28 Active ideal gas - Summary 12/33 Spherical particles (Γ w = 0): equation of state Non-spherical particles Torques No equation of state

29 Active ideal gas - Summary 12/33 Spherical particles (Γ w = 0): equation of state Non-spherical particles Torques No equation of state Other ways to lose the equation of state?

30 Active ideal gas - Summary 12/33 Spherical particles (Γ w = 0): equation of state Non-spherical particles Torques No equation of state Other ways to lose the equation of state? Spherical particles with interactions

31 Hard-core interactions 13/33 20 P 10 0 λ = 2 λ = 4 λ = 6 λ = 0.1 λ = 1 λ = 10 non-interacting ρ Hard-core repulsion WCA potential

32 Hard-core interactions 13/33 20 P 10 0 λ = 2 λ = 4 λ = 6 λ = 0.1 λ = 1 λ = 10 non-interacting ρ Hard-core repulsion WCA potential Equation of state

33 Quorum sensing interactions 14/33 50 P λ = 0.1 λ = 1 λ = 10 non-interacting ρ Quorum sensing v(ρ), ρ local density

34 Quorum sensing interactions 14/33 50 P λ = 0.1 λ = 1 λ = 10 non-interacting ρ Quorum sensing v(ρ), ρ local density No Equation of state

35 Alignment 15/33 8 P 6 4 λ = 0.1 λ = 1 λ = 10 non-interacting 2 0 ρ Alignment

36 Alignment 15/33 8 P 6 4 λ = 0.1 λ = 1 λ = 10 non-interacting 2 0 ρ Alignment No equation of state

37 Alignment 15/33 8 P 6 4 λ = 0.1 λ = 1 λ = 10 non-interacting 2 0 ρ Alignment No equation of state Confusing Need a simple test

38 A simple test 16/33 Place an asymmetric mobile partition in the middle of a cavity Equilibrium the partition is static

39 A simple test - All cases 17/33 No equation of states Spontaneous compression

40 Self-organization at the edges 18/33 Force balance In equilibrium F 1 = F 2

41 Self-organization at the edges 18/33 Force balance Active particles F 1 F 2

42 18/33 Self-organization at the edges Force balance Active particles F 1 F ρ(x) m(x) x Force exerted by the substrate

43 Curved walls 19/33 Active particles accumulate in curved regions [Fily, Baskaran, Hagan, Soft Matter 2014]

44 Curved walls 19/33 Active particles accumulate in curved regions (Di Leonardo et al., PNAS 2010) [Fily, Baskaran, Hagan, Soft Matter 2014]

45 Curved walls 20/33 Inhomogenous pressure: Wall

46 Curved walls 20/33 Inhomogenous pressure: Wall P Equation of state in average

47 Curved walls 20/33 Inhomogenous pressure: Wall P Equation of state in average J y Wall Ratchet non-universal J y = µf y

48 Filaments 21/33 Semi-flexible filament in an active bath Instability for q < q i (T, κ s, κ b ) 200 y y y t = 10 2 t = 10 3 t = Coarsening x x x

49 Free filament 22/33 J. Harder, C. Valeriani, A, Cacciuto, Phys. Rev. E. (2014) A. Kaiser, H. Löwen, J. Chem. Phys. (2014) J. Shin, A. Cherstvy, W. K. Kim, R. Metzler, New. J. Phys. (2015)

50 Free filament 22/33 J. Harder, C. Valeriani, A, Cacciuto, Phys. Rev. E. (2014) A. Kaiser, H. Löwen, J. Chem. Phys. (2014) J. Shin, A. Cherstvy, W. K. Kim, R. Metzler, New. J. Phys. (2015) 200 D κ b = 250 κ b = L f

51 Free filament 22/33 J. Harder, C. Valeriani, A, Cacciuto, Phys. Rev. E. (2014) A. Kaiser, H. Löwen, J. Chem. Phys. (2014) J. Shin, A. Cherstvy, W. K. Kim, R. Metzler, New. J. Phys. (2015) 200 D κ b = 250 κ b = L f Macroscopic motion without external symmetry breaking Sorting mechanism

52 Pressure - Summary 23/33 The existence of a pressure is not trivial in active systems P depends in general on the probe

53 Pressure - Summary 23/33 The existence of a pressure is not trivial in active systems P depends in general on the probe Unusual properties Anisotropic pressure: P(θ) if v(θ) Inhomogeneous pressure: P(x) if v(x)

54 Pressure - Summary 23/33 The existence of a pressure is not trivial in active systems P depends in general on the probe Unusual properties Anisotropic pressure: P(θ) if v(θ) Inhomogeneous pressure: P(x) if v(x) Special cases with equation of state Thermodynamics of active systems Currents, ratchets, instabilities

55 Outline Pressure in active fluids Solon, Fily, Baskaran, Cates, Kafri, Kardar, Tailleur, Nat. Physics (2015) Nikola, Solon, Kafri, Kardar, Tailleur, Voituriez, Phys. Rev. Lett. (2016) Motility-induced phase separation Solon, Stenhammar, Wittkowski, Kardar, Kafri, Cates, Tailleur, Phys. Rev. Lett. (2015) Solon, Stenhammar, Cates, Kafri, Tailleur, arxiv (2016) 24/33

56 Motility-induced phase separation (MIPS) 25/33 Phase separation: dilute/fast vs dense/slow Buttinoni et al, PRL 2013 Liu et al, Science 2011

57 Motility-induced phase separation (MIPS) 25/33 Phase separation: dilute/fast vs dense/slow Buttinoni et al, PRL 2013 Liu et al, Science 2011 Feedback loop: Collisions/interactions = Particles slow down = Increase in density

58 Motility-induced phase separation (MIPS) 25/33 Phase separation: dilute/fast vs dense/slow Buttinoni et al, PRL 2013 Liu et al, Science 2011 Feedback loop: Collisions/interactions = Particles slow down = Increase in density Cohesive matter without attractive interactions

59 Motility-induced phase separation (MIPS) 25/33 Phase separation: dilute/fast vs dense/slow Buttinoni et al, PRL 2013 Liu et al, Science 2011 Feedback loop: Collisions/interactions = Particles slow down = Increase in density Cohesive matter without attractive interactions How can we understand the phase coexistence?

60 26/33 Microscopic models Pairwise interactions Fily and Marchetti (PRL 2012), Redner et al (PRL 2013), Stenhammar et al (PRL 2013), Mallory et al (PRE 2014), Takatori et al (PRL 2014), Solon et al (PRL 2015)...

61 26/33 Microscopic models Pairwise interactions Quorum sensing Fily and Marchetti (PRL 2012), Redner et al (PRL 2013), Stenhammar et al (PRL 2013), Mallory et al (PRE 2014), Takatori et al (PRL 2014), Solon et al (PRL 2015)... Tailleur and Cates (PRL 2008), Solon et al (EPJ 2015)

62 26/33 Microscopic models Pairwise interactions Quorum sensing Fily and Marchetti (PRL 2012), Redner et al (PRL 2013), Stenhammar et al (PRL 2013), Mallory et al (PRE 2014), Takatori et al (PRL 2014), Solon et al (PRL 2015)... Tailleur and Cates (PRL 2008), Solon et al (EPJ 2015) Similar to liquid-gas phase separation

63 Liquid-gas phase separation in equilibrium 27/33 Cahn-Hilliard equation ρ t = M(ρ) δf[ρ] δρ, F = d r [ f (ρ) + c(ρ) ] 2 ρ 2

64 Liquid-gas phase separation in equilibrium 27/33 Cahn-Hilliard equation ] ρ [f t = M(ρ) (ρ) + c 2 ρ 2 c ρ

65 27/33 Liquid-gas phase separation in equilibrium Cahn-Hilliard equation ] ρ [f t = M(ρ) (ρ) + c 2 ρ 2 c ρ ρ ρ g x g ρ g, ρ l? x l ρ l x

66 27/33 Liquid-gas phase separation in equilibrium Cahn-Hilliard equation ] ρ [f t = M(ρ) (ρ) + c 2 ρ 2 c ρ ρ ρ g x g ρ g, ρ l? x l ρ l x J = 0 = f (ρ) + c 2 ρ 2 c ρ = Cst. = µ

67 27/33 Liquid-gas phase separation in equilibrium Cahn-Hilliard equation ] ρ [f t = M(ρ) (ρ) + c 2 ρ 2 c ρ ρ ρ g x g ρ g, ρ l? x l ρ l x J = 0 = f (ρ) + c 2 ρ 2 c ρ = Cst. = µ f (ρ g ) = f (ρ l ) equality of chemical potential

68 27/33 Liquid-gas phase separation in equilibrium Cahn-Hilliard equation ] ρ [f t = M(ρ) (ρ) + c 2 ρ 2 c ρ ρ ρ g x g ρ g, ρ l? x l ρ l x J = 0 = f (ρ) + c 2 ρ 2 c ρ = Cst. = µ f (ρ g ) = f (ρ l ) equality of chemical potential µ x l x g ρdx = x l x g f (ρ) ρdx + xl x g [ c 2 ρ 2 c ρ] ρdx } {{ } =0

69 27/33 Liquid-gas phase separation in equilibrium Cahn-Hilliard equation ] ρ [f t = M(ρ) (ρ) + c 2 ρ 2 c ρ ρ ρ g x g ρ g, ρ l? x l ρ l x J = 0 = f (ρ) + c 2 ρ 2 c ρ = Cst. = µ f (ρ g ) = f (ρ l ) equality of chemical potential µ(ρ l ρ g ) = f (ρ l ) f (ρ g ) equality of pressure P = ρf f

70 Liquid-gas phase separation in equilibrium Cahn-Hilliard equation ] ρ [f t = M(ρ) (ρ) + c 2 ρ 2 c ρ ρ ρ g x g ρ g, ρ l? x l ρ l x J = 0 = f (ρ) + c 2 ρ 2 c ρ = Cst. = µ f (ρ g ) = f (ρ l ) equality of chemical potential µ(ρ l ρ g ) = f (ρ l ) f (ρ g ) equality of pressure P = ρf f f ρ g ρ l ρ 27/33

71 Nonequilibrium phase separation 28/33 Most general for a scalar conserved field ρ [ ] t = M(ρ) µ 0 (ρ) + λ(ρ) ρ 2 κ(ρ) ρ

72 Nonequilibrium phase separation 28/33 Most general for a scalar conserved field ρ [ ] t = M(ρ) µ 0 (ρ) + λ(ρ) ρ 2 κ(ρ) ρ J = 0 = µ0 (ρ) + λ ρ 2 κ ρ = Cst. = µ

73 Nonequilibrium phase separation 28/33 Most general for a scalar conserved field ρ [ ] t = M(ρ) µ 0 (ρ) + λ(ρ) ρ 2 κ(ρ) ρ J = 0 = µ0 (ρ) + λ ρ 2 κ ρ = Cst. = µ µ 0 (ρ g ) = µ 0 (ρ l ) equality of chemical potential

74 Nonequilibrium phase separation 28/33 Most general for a scalar conserved field ρ [ ] t = M(ρ) µ 0 (ρ) + λ(ρ) ρ 2 κ(ρ) ρ J = 0 = µ0 (ρ) + λ ρ 2 κ ρ = Cst. = µ µ 0 (ρ g ) = µ 0 (ρ l ) equality of chemical potential µ(ρ l ρ g ) = f (ρ l ) f (ρ g ) + df dρ = µ 0 xl x g [λ ρ 2 κ ρ] ρdx } {{ } 0

75 Nonequilibrium phase separation 28/33 Most general for a scalar conserved field ρ [ ] t = M(ρ) µ 0 (ρ) + λ(ρ) ρ 2 κ(ρ) ρ J = 0 = µ0 (ρ) + λ ρ 2 κ ρ = Cst. = µ µ 0 (ρ g ) = µ 0 (ρ l ) equality of chemical potential µ(ρ l ρ g ) = f (ρ l ) f (ρ g ) + df dρ = µ 0 xl Uncommon tangent construction [Wittkowski et al, Nat. Comm. 2014] x g [λ ρ 2 κ ρ] ρdx } {{ } 0 f ρ

76 Generalized thermodynamic constructions 29/33 µ = µ 0 (ρ) + λ(ρ) ρ 2 κ(ρ) ρ ρ ρ g x g x l ρ l x µ x l x g ρdx = x l x g µ 0 (ρ) ρdx + x l x g [λ(ρ) ρ 2 κ(ρ) ρ] ρdx

77 Generalized thermodynamic constructions 29/33 µ = µ 0 (ρ) + λ(ρ) ρ 2 κ(ρ) ρ ρ ρ g x g x l ρ l x µ x l x g Rdx = x l x g µ 0 (ρ) Rdx + x l x g [λ(ρ) ρ 2 κ(ρ) ρ] Rdx Effective density R(ρ) s.t. R = 2λ+κ κ R

78 29/33 Generalized thermodynamic constructions µ = µ 0 (ρ) + λ(ρ) ρ 2 κ(ρ) ρ ρ ρ g x g x l ρ l x µ x l x g Rdx = x l x g µ 0 (ρ) Rdx + x l x g [λ(ρ) ρ 2 κ(ρ) ρ] Rdx Effective density R(ρ) s.t. R = 2λ+κ κ R µ(r l R g ) = φ(r l ) φ(r g ), dφ dr = µ 0 Common tangent construction

79 29/33 Generalized thermodynamic constructions µ = µ 0 (ρ) + λ(ρ) ρ 2 κ(ρ) ρ ρ ρ g x g x l ρ l x µ x l x g Rdx = x l x g µ 0 (ρ) Rdx + x l x g [λ(ρ) ρ 2 κ(ρ) ρ] Rdx Effective density R(ρ) s.t. R = 2λ+κ κ R µ(r l R g ) = φ(r l ) φ(r g ), dφ dr = µ 0 Common tangent construction Thermodynamic pressure: P = µ 0 R φ Equal-area construction

80 Quorum sensing interactions 30/33 Particles moving at velocity v(ρ) ρ t = M(ρ) [µ 0 (ρ) κ(ρ) ρ], µ 0 = log(ρv), κ(ρ) = l 2 v v

81 30/33 Quorum sensing interactions Particles moving at velocity v(ρ) ρ t = M(ρ) [µ 0 (ρ) κ(ρ) ρ], µ 0 = log(ρv), κ(ρ) = l 2 v v = effective density R(ρ) = ρ 1 κ(u) du φ P 0 µ R g R l R P 1/R l 1/R g 1/R

82 Quorum sensing interactions Particles moving at velocity v(ρ) ρ t = M(ρ) [µ 0 (ρ) κ(ρ) ρ], µ 0 = log(ρv), κ(ρ) = l 2 v v = effective density R(ρ) = ρ 1 κ(u) du φ P 0 µ R g R l R ρ P 1/R l 1/R g 1/R v v g v l ρ Simulations, 1d lattice Simulations, 2d RTP off-lattice Simulations, 2d ABP off-lattice Equ. construction Theory 0 v g /v l /33

83 Pairwise interactions 31/33 More difficult. No expression for the interfacial terms. measured numerically (b) Pe Simulations Eq. (11) Equilibrium ρ

84 Conclusions 32/33 MIPS described by a generalized Cahn-Hilliard equation including non-equilibrium interfacial terms Equilibrium relations are recovered after defining an effective density The phase diagram depends on the interfacial terms

85 33/33 References Julien Tailleur (Paris Diderot) Mehran Kardar (MIT) Michael Cates (Cambridge) Yariv Kafri (Technion) Nikolai Nikola (Technion) Raphaël Voituriez (UPMC) Joakim Stenhammar (Lund) Raphael Wittkowski (Dusseldorf) Aparna Baskaran (Brandeis) Yaouen Fily (Brandeis) Pressure is not a state function for generic active fluids Solon, Fily, Baskaran, Cates, Kafri, Kardar, Tailleur Nature Physics (2015) Pressure and Phase Equilibria in Interacting Active Brownian Spheres Solon, Stenhammar, Wittkowski, Kardar, Kafri, Cates, Tailleur Phys. Rev. Lett. 114, (2015) Active particles on curved surfaces: Equation of state, ratchets, and instabilities Nikola, Solon, Kafri, Kardar, Tailleur, Voituriez Phys. Rev. Lett. 117, (2016) Generalized Thermodynamics of Phase Equilibria in Scalar Active Matter Solon, Stenhammar, Cates, Kafri, Tailleur arxiv: (2016)

86 33/33 References Julien Tailleur (Paris Diderot) Mehran Kardar (MIT) Michael Cates (Cambridge) Yariv Kafri (Technion) Nikolai Nikola (Technion) Raphaël Voituriez (UPMC) Joakim Stenhammar (Lund) Raphael Wittkowski (Dusseldorf) Aparna Baskaran (Brandeis) Yaouen Fily (Brandeis) Pressure is not a state function for generic active fluids Solon, Fily, Baskaran, Cates, Kafri, Kardar, Tailleur Nature Physics (2015) Pressure and Phase Equilibria in Interacting Active Brownian Spheres Solon, Stenhammar, Wittkowski, Kardar, Kafri, Cates, Tailleur Phys. Rev. Lett. 114, (2015) Active particles on curved surfaces: Equation of state, ratchets, and instabilities Nikola, Solon, Kafri, Kardar, Tailleur, Voituriez Phys. Rev. Lett. 117, (2016) Generalized Thermodynamics of Phase Equilibria in Scalar Active Matter Solon, Stenhammar, Cates, Kafri, Tailleur arxiv: (2016) Thank you for your attention

Long-range forces and phase separation in simple active fluids

Long-range forces and phase separation in simple active fluids 1/21 Long-range forces and phase separation in simple active fluids Alex Solon, PLS fellow, MIT Harvard Kid s seminar, September 19th 2017 Active matter 2/21 Stored energy Mechanical energy Self-propelled

More information

Pressure and forces in active matter

Pressure and forces in active matter 1 Pressure and forces in active matter Alex Solon (MIT) University of Houston, February 8th 2018 Active matter 2 Stored energy Mechanical energy Self-propelled particles Found at all scales in living systems

More information

Pressure is not a state function for generic active fluids

Pressure is not a state function for generic active fluids Pressure is not a state function for generic active fluids The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Citation As Published Publisher

More information

arxiv: v1 [cond-mat.stat-mech] 21 Nov 2018

arxiv: v1 [cond-mat.stat-mech] 21 Nov 2018 arxiv:1811.08829v1 [cond-mat.stat-mech] 21 Nov 2018 Forces in dry active matter Ydan Ben Dor Department of Physics and the Russell Berrie Nanotechnology Institute, Technion Israel Institute of Technology,

More information

arxiv: v2 [cond-mat.soft] 3 Oct 2013

arxiv: v2 [cond-mat.soft] 3 Oct 2013 A continuum theory of phase separation kinetics for active Brownian particles Joakim Stenhammar, Adriano Tiribocchi, Rosalind J. Allen, Davide Marenduzzo, and Michael E. Cates arxiv:137.4373v [cond-mat.soft]

More information

Beating of grafted chains induced by active Brownian particles Qiu-song Yang, Qing-wei Fan, Zhuang-lin Shen, Yi-qi Xia, Wen-de Tian *, Kang Chen *

Beating of grafted chains induced by active Brownian particles Qiu-song Yang, Qing-wei Fan, Zhuang-lin Shen, Yi-qi Xia, Wen-de Tian *, Kang Chen * Beating of grafted chains induced by active Brownian particles Qiu-song Yang, Qing-wei Fan, Zhuang-lin Shen, Yi-qi Xia, Wen-de Tian *, Kang Chen * Center for Soft Condensed Matter Physics & Interdisciplinary

More information

Universality in Soft Active Matter

Universality in Soft Active Matter Universality in Soft Active Matter Chiu Fan Lee Department of Bioengineering, Imperial College London, UK M.C. Escher (1938) Day and Night Universality in soft living matter Amyloid fibrils RNA granules

More information

arxiv: v1 [cond-mat.soft] 27 Dec 2013

arxiv: v1 [cond-mat.soft] 27 Dec 2013 Effective Cahn-Hilliard equation for the phase separation of active Brownian particles Thomas Speck, 1 Julian Bialké, 2 Andreas M. Menzel, 2 and Hartmut Löwen 2 1 Institut für Physik, Johannes Gutenberg-Universität

More information

Statistical Mechanics of Active Matter

Statistical Mechanics of Active Matter Statistical Mechanics of Active Matter Umberto Marini Bettolo Marconi University of Camerino, Italy Naples, 24 May,2017 Umberto Marini Bettolo Marconi (2017) Statistical Mechanics of Active Matter 2017

More information

arxiv: v1 [cond-mat.stat-mech] 14 Dec 2018

arxiv: v1 [cond-mat.stat-mech] 14 Dec 2018 Lack of an equation of state for the nonequilibrium chemical potential of gases of active particles in contact Jules Guioth a) DAMTP, Centre for Mathematical Sciences, University of Cambridge, Wilberforce

More information

Motility-Induced Phase Separation

Motility-Induced Phase Separation arxiv:1406.3533v1 [cond-mat.soft] 13 Jun 2014 Xxxx. Xxx. Xxx. Xxx. YYYY. 00:1 26 This article s doi: 10.1146/((please add article doi)) Copyright c YYYY by Annual Reviews. All rights reserved Motility-Induced

More information

arxiv: v1 [cond-mat.soft] 21 Feb 2019

arxiv: v1 [cond-mat.soft] 21 Feb 2019 Interrupted Motility Induced Phase Separation in Aligning Active Colloids Marjolein N. van der Linden, 1, 2 Lachlan C. Alexander, 2 Dirk G.A.L. Aarts, 2 and Olivier Dauchot 1 1 Gulliver UMR CNRS 7083,

More information

Diffuse Interface Field Approach (DIFA) to Modeling and Simulation of Particle-based Materials Processes

Diffuse Interface Field Approach (DIFA) to Modeling and Simulation of Particle-based Materials Processes Diffuse Interface Field Approach (DIFA) to Modeling and Simulation of Particle-based Materials Processes Yu U. Wang Department Michigan Technological University Motivation Extend phase field method to

More information

arxiv: v1 [cond-mat.soft] 18 Apr 2018

arxiv: v1 [cond-mat.soft] 18 Apr 2018 arxiv:184.6838v1 [cond-mat.soft] 18 Apr 218 1 Introduction Pierre-Gilles de Gennes wrote 1 that the interfaces between two forms of bulk matter are responsible for some of the most unexpected actions...

More information

VIII. Phase Transformations. Lecture 38: Nucleation and Spinodal Decomposition

VIII. Phase Transformations. Lecture 38: Nucleation and Spinodal Decomposition VIII. Phase Transformations Lecture 38: Nucleation and Spinodal Decomposition MIT Student In this lecture we will study the onset of phase transformation for phases that differ only in their equilibrium

More information

Collective dynamics of self-propelled particles: from crystallization to turbulence

Collective dynamics of self-propelled particles: from crystallization to turbulence Collective dynamics of self-propelled particles: from crystallization to turbulence Nano-Seminar, Materialwissenschaften TU Dresden, Germany von Hartmut Löwen, Heinrich-Heine-Universität Düsseldorf I)

More information

THREE-BODY INTERACTIONS DRIVE THE TRANSITION TO POLAR ORDER IN A SIMPLE FLOCKING MODEL

THREE-BODY INTERACTIONS DRIVE THE TRANSITION TO POLAR ORDER IN A SIMPLE FLOCKING MODEL THREE-BODY INTERACTIONS DRIVE THE TRANSITION TO POLAR ORDER IN A SIMPLE FLOCKING MODEL Purba Chatterjee and Nigel Goldenfeld Department of Physics University of Illinois at Urbana-Champaign Flocking in

More information

Molecular dynamics study of the lifetime of nanobubbles on the substrate

Molecular dynamics study of the lifetime of nanobubbles on the substrate Molecular dynamics study of the lifetime of nanobubbles on the substrate - Links of Hierarchies KOHNO Shunsuke Division of Physics and Astronomy, Graduate School of Science, Kyoto University Outline Introduction

More information

lim = F F = F x x + F y y + F z

lim = F F = F x x + F y y + F z Physics 361 Summary of Results from Lecture Physics 361 Derivatives of Scalar and Vector Fields The gradient of a scalar field f( r) is given by g = f. coordinates f g = ê x x + ê f y y + ê f z z Expressed

More information

An introduction to the statistical physics of active matter: motility-induced phase separation and the generic instability of active gels

An introduction to the statistical physics of active matter: motility-induced phase separation and the generic instability of active gels Eur. Phys. J. Special Topics 225, 2065 2077 (2016) The Author(s) 2016 DOI: 10.1140/epjst/e2016-60084-6 THE EUROPEAN PHYSICAL JOURNAL SPECIAL TOPICS Regular Article An introduction to the statistical physics

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

1. (a) (5 points) Find the unit tangent and unit normal vectors T and N to the curve. r (t) = 3 cos t, 0, 3 sin t, r ( 3π

1. (a) (5 points) Find the unit tangent and unit normal vectors T and N to the curve. r (t) = 3 cos t, 0, 3 sin t, r ( 3π 1. a) 5 points) Find the unit tangent and unit normal vectors T and N to the curve at the point P 3, 3π, r t) 3 cos t, 4t, 3 sin t 3 ). b) 5 points) Find curvature of the curve at the point P. olution:

More information

Renormalization of microscopic Hamiltonians. Renormalization Group without Field Theory

Renormalization of microscopic Hamiltonians. Renormalization Group without Field Theory Renormalization of microscopic Hamiltonians Renormalization Group without Field Theory Alberto Parola Università dell Insubria (Como - Italy) Renormalization Group Universality Only dimensionality and

More information

Different types of phase transitions for a simple model of alignment of oriented particles

Different types of phase transitions for a simple model of alignment of oriented particles Different types of phase transitions for a simple model of alignment of oriented particles Amic Frouvelle Université Paris Dauphine Joint work with Jian-Guo Liu (Duke University, USA) and Pierre Degond

More information

arxiv: v1 [cond-mat.stat-mech] 10 May 2015

arxiv: v1 [cond-mat.stat-mech] 10 May 2015 Entropic Ratchet transport of interacting active Browanian particles arxiv:1505.02336v1 [cond-mat.stat-mech] 10 May 2015 Bao-quan Ai 1, Ya-feng He 2, and Wei-rong Zhong 3 1 Laboratory of Quantum Engineering

More information

DNS of colloidal dispersions using the smoothed profile method: formulation and applications

DNS of colloidal dispersions using the smoothed profile method: formulation and applications Hokusai, 1831 Workshop III: High Performance and Parallel Computing Methods and Algorithms for Multiphase/Complex Fluids Institute for Mathematical Sciences, NUS, Singapore 2 6 March 2015 DNS of colloidal

More information

Different types of phase transitions for a simple model of alignment of oriented particles

Different types of phase transitions for a simple model of alignment of oriented particles Different types of phase transitions for a simple model of alignment of oriented particles Amic Frouvelle CEREMADE Université Paris Dauphine Joint work with Jian-Guo Liu (Duke University, USA) and Pierre

More information

PHYS 563 term Paper The Flocking Transition : A Review of The Vicsek Model

PHYS 563 term Paper The Flocking Transition : A Review of The Vicsek Model PHYS 563 term Paper The Flocking Transition : A Review of The Vicsek Model Purba Chatterjee May 4, 2017 Abstract This essay reviews important results from studies on the Vicsek model, which describes a

More information

arxiv: v2 [cond-mat.stat-mech] 29 Nov 2017

arxiv: v2 [cond-mat.stat-mech] 29 Nov 2017 Phase co-existence in bidimensional passive and active dumbbell systems arxiv:6.692v2 [cond-mat.stat-mech] 29 Nov 27 Leticia F. Cugliandolo,, 2 Pasquale Digregorio,3 Giuseppe Gonnella,3 and Antonio Suma4

More information

Multiscale modeling of active fluids: selfpropellers and molecular motors. I. Pagonabarraga University of Barcelona

Multiscale modeling of active fluids: selfpropellers and molecular motors. I. Pagonabarraga University of Barcelona Multiscale modeling of active fluids: selfpropellers and molecular motors I. Pagonabarraga University of Barcelona Introduction Soft materials weak interactions Self-assembly Emergence large scale structures

More information

Aggregation and sedimentation of active Brownian particles at constant affinity

Aggregation and sedimentation of active Brownian particles at constant affinity Aggregation and sedimentation of active Brownian particles at constant affinity Andreas Fischer,, Arkya Chatterjee, 3 and Thomas Speck Institut für Physik, Johannes Gutenberg-Universität Mainz, Staudingerweg

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

Lecture 4: Hydrodynamics of Bacterial Suspensions. Plan

Lecture 4: Hydrodynamics of Bacterial Suspensions. Plan Lecture 4: Hydrodynamics of Bacterial Suspensions M. Cristina Marchetti Syracuse University Boulder School 2009 Aphrodite Ahmadi (SU SUNY Cortland) Shiladitya Banerjee (SU) Aparna Baskaran (SU Brandeis)

More information

(Crystal) Nucleation: The language

(Crystal) Nucleation: The language Why crystallization requires supercooling (Crystal) Nucleation: The language 2r 1. Transferring N particles from liquid to crystal yields energy. Crystal nucleus Δµ: thermodynamic driving force N is proportional

More information

A model of alignment interaction for oriented particles with phase transition

A model of alignment interaction for oriented particles with phase transition A model of alignment interaction for oriented particles with phase transition Amic Frouvelle ACMAC Joint work with Jian-Guo Liu (Duke University, USA) and Pierre Degond (Institut de Mathématiques de Toulouse,

More information

Solution Set Two. 1 Problem #1: Projectile Motion Cartesian Coordinates Polar Coordinates... 3

Solution Set Two. 1 Problem #1: Projectile Motion Cartesian Coordinates Polar Coordinates... 3 : Solution Set Two Northwestern University, Classical Mechanics Classical Mechanics, Third Ed.- Goldstein October 7, 2015 Contents 1 Problem #1: Projectile Motion. 2 1.1 Cartesian Coordinates....................................

More information

Electro-hydrodynamic propulsion of counter-rotating Pickering drops. P. Dommersnes*, A. Mikkelsen, J.O. Fossum

Electro-hydrodynamic propulsion of counter-rotating Pickering drops. P. Dommersnes*, A. Mikkelsen, J.O. Fossum Electro-hydrodynamic propulsion of counter-rotating Pickering drops P. Dommersnes*, A. Mikkelsen, J.O. Fossum 1 Department of Physics, Norwegian University of Science and Technology, Trondheim, Norway

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

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

Chapter 6. Phase transitions. 6.1 Concept of phase

Chapter 6. Phase transitions. 6.1 Concept of phase Chapter 6 hase transitions 6.1 Concept of phase hases are states of matter characterized by distinct macroscopic properties. ypical phases we will discuss in this chapter are liquid, solid and gas. Other

More information

Problem Set #4: 4.1,4.7,4.9 (Due Monday, March 25th)

Problem Set #4: 4.1,4.7,4.9 (Due Monday, March 25th) Chapter 4 Multipoles, Dielectrics Problem Set #4: 4.,4.7,4.9 (Due Monday, March 5th 4. Multipole expansion Consider a localized distribution of charges described by ρ(x contained entirely in a sphere of

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

A model of alignment interaction for oriented particles with phase transition

A model of alignment interaction for oriented particles with phase transition A model of alignment interaction for oriented particles with phase transition Amic Frouvelle Archimedes Center for Modeling, Analysis & Computation (ACMAC) University of Crete, Heraklion, Crete, Greece

More information

For slowly varying probabilities, the continuum form of these equations is. = (r + d)p T (x) (u + l)p D (x) ar x p T(x, t) + a2 r

For slowly varying probabilities, the continuum form of these equations is. = (r + d)p T (x) (u + l)p D (x) ar x p T(x, t) + a2 r 3.2 Molecular Motors A variety of cellular processes requiring mechanical work, such as movement, transport and packaging material, are performed with the aid of protein motors. These molecules consume

More information

Supplementary Information. Directed flow of micromotors through alignment interactions with micropatterned ratchets

Supplementary Information. Directed flow of micromotors through alignment interactions with micropatterned ratchets Supplementary Information Directed flow of micromotors through alignment interactions with micropatterned ratchets Jaideep Katuri 1,2, David Caballero 1,3,4, Raphael Voituriez 5,6, Josep Samitier 1,3,4,

More information

Integrals in cylindrical, spherical coordinates (Sect. 15.7)

Integrals in cylindrical, spherical coordinates (Sect. 15.7) Integrals in clindrical, spherical coordinates (Sect. 15.7 Integration in spherical coordinates. Review: Clindrical coordinates. Spherical coordinates in space. Triple integral in spherical coordinates.

More information

Multiple Choice. Compute the Jacobian, (u, v), of the coordinate transformation x = u2 v 4, y = uv. (a) 2u 2 + 4v 4 (b) xu yv (c) 3u 2 + 7v 6

Multiple Choice. Compute the Jacobian, (u, v), of the coordinate transformation x = u2 v 4, y = uv. (a) 2u 2 + 4v 4 (b) xu yv (c) 3u 2 + 7v 6 .(5pts) y = uv. ompute the Jacobian, Multiple hoice (x, y) (u, v), of the coordinate transformation x = u v 4, (a) u + 4v 4 (b) xu yv (c) u + 7v 6 (d) u (e) u v uv 4 Solution. u v 4v u = u + 4v 4..(5pts)

More information

Lecture 4: viscoelasticity and cell mechanics

Lecture 4: viscoelasticity and cell mechanics Teaser movie: flexible robots! R. Shepherd, Whitesides group, Harvard 1 Lecture 4: viscoelasticity and cell mechanics S-RSI Physics Lectures: Soft Condensed Matter Physics Jacinta C. Conrad University

More information

Colloidal Particles at Liquid Interfaces: An Introduction

Colloidal Particles at Liquid Interfaces: An Introduction 1 Colloidal Particles at Liquid Interfaces: An Introduction Bernard P. Binks and Tommy S. Horozov Surfactant and Colloid Group, Department of Chemistry, University of Hull, Hull, HU6 7RX, UK 1.1 Some Basic

More information

Active and Driven Soft Matter Lecture 3: Self-Propelled Hard Rods

Active and Driven Soft Matter Lecture 3: Self-Propelled Hard Rods A Tutorial: From Langevin equation to Active and Driven Soft Matter Lecture 3: Self-Propelled Hard Rods M. Cristina Marchetti Syracuse University Boulder School 2009 A Tutorial: From Langevin equation

More information

Statistical Mechanics and Thermodynamics of Small Systems

Statistical Mechanics and Thermodynamics of Small Systems Statistical Mechanics and Thermodynamics of Small Systems Luca Cerino Advisors: A. Puglisi and A. Vulpiani Final Seminar of PhD course in Physics Cycle XXIX Rome, October, 26 2016 Outline of the talk 1.

More information

arxiv: v1 [cond-mat.soft] 24 Dec 2016

arxiv: v1 [cond-mat.soft] 24 Dec 2016 Ratchet transport powered by chiral s Bao-quan Ai 1,* 1 Guangdong Provincial Key Laboratory of Quantum Engineering and Quantum Materials, School of Physics and Telecommunication Engineering, South China

More information

arxiv:cond-mat/ v1 [cond-mat.stat-mech] 29 Nov 2006

arxiv:cond-mat/ v1 [cond-mat.stat-mech] 29 Nov 2006 NOVEL TYPE OF PHASE TRANSITION IN A SYSTEM arxiv:cond-mat/0611743v1 [cond-mat.stat-mech] 9 Nov 006 OF SELF-DRIVEN PARTICLES Tamás Vicsek, a,b András Czirók, a Eshel Ben-Jacob, c Inon Cohen, c and Ofer

More information

1 r 2 sin 2 θ. This must be the case as we can see by the following argument + L2

1 r 2 sin 2 θ. This must be the case as we can see by the following argument + L2 PHYS 4 3. The momentum operator in three dimensions is p = i Therefore the momentum-squared operator is [ p 2 = 2 2 = 2 r 2 ) + r 2 r r r 2 sin θ We notice that this can be written as sin θ ) + θ θ r 2

More information

Emerging Multidisciplinary Fluid Sciences. International Journal of. Reprinted from

Emerging Multidisciplinary Fluid Sciences. International Journal of. Reprinted from A Hydrodynamical Kinetic Theory for Self-Propelled Ellipsoidal Suspensions by Sarthok Sircar Reprinted from International Journal of Emerging Multidisciplinary Fluid Sciences Volume 2 Number 4 December

More information

Sections minutes. 5 to 10 problems, similar to homework problems. No calculators, no notes, no books, no phones. No green book needed.

Sections minutes. 5 to 10 problems, similar to homework problems. No calculators, no notes, no books, no phones. No green book needed. MTH 34 Review for Exam 4 ections 16.1-16.8. 5 minutes. 5 to 1 problems, similar to homework problems. No calculators, no notes, no books, no phones. No green book needed. Review for Exam 4 (16.1) Line

More information

Answers to Problem Set Number 04 for MIT (Spring 2008)

Answers to Problem Set Number 04 for MIT (Spring 2008) Answers to Problem Set Number 04 for 18.311 MIT (Spring 008) Rodolfo R. Rosales (MIT, Math. Dept., room -337, Cambridge, MA 0139). March 17, 008. Course TA: Timothy Nguyen, MIT, Dept. of Mathematics, Cambridge,

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

Solutions to Problem Set 1 Physics 201b January 13, 2010.

Solutions to Problem Set 1 Physics 201b January 13, 2010. Solutions to Problem Set Physics 0b January, 00.. (i) To produce a sphere with µc you need to first let the two spheres touch each 8 other so that the charges redistribute equally on the two spheres. Now

More information

Energetics of entangled nematic colloids

Energetics of entangled nematic colloids Energetics of entangled nematic colloids M. Ravnik, U. Tkalec, S. Copar, S. Zumer, I. Musevic Faculty of Mathematics and Physics, University of Ljubljana, Ljubljana, Slovenia Josef Stefan Institute, Ljubljana,

More information

Correlations between spin accumulation and degree of time-inverse breaking for electron gas in solid

Correlations between spin accumulation and degree of time-inverse breaking for electron gas in solid Correlations between spin accumulation and degree of time-inverse breaking for electron gas in solid V.Zayets * Spintronic Research Center, National Institute of Advanced Industrial Science and Technology

More information

V. Electrostatics Lecture 24: Diffuse Charge in Electrolytes

V. Electrostatics Lecture 24: Diffuse Charge in Electrolytes V. Electrostatics Lecture 24: Diffuse Charge in Electrolytes MIT Student 1. Poisson-Nernst-Planck Equations The Nernst-Planck Equation is a conservation of mass equation that describes the influence of

More information

Supporting Information

Supporting Information Supporting Information A: Calculation of radial distribution functions To get an effective propagator in one dimension, we first transform 1) into spherical coordinates: x a = ρ sin θ cos φ, y = ρ sin

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

Fluctuations and Pattern Formation in Self- Propelled Particles

Fluctuations and Pattern Formation in Self- Propelled Particles Syracuse University SURFACE Physics College of Arts and Sciences 4-9-2 Fluctuations and Pattern Formation in Self- Propelled Particles Shradha Mishra Syracuse University Aparna Baskaran Syracuse University

More information

P3317 HW from Lecture 15 and Recitation 8

P3317 HW from Lecture 15 and Recitation 8 P3317 HW from Lecture 15 and Recitation 8 Due Oct 23, 218 Problem 1. Variational Energy of Helium Here we will estimate the ground state energy of Helium. Helium has two electrons circling around a nucleus

More information

Citation PHYSICAL REVIEW E (2002), 65(6) RightCopyright 2002 American Physical So

Citation PHYSICAL REVIEW E (2002), 65(6)   RightCopyright 2002 American Physical So TitleStatistical mechanics of two hard d Author(s) Munakata, T; Hu, G Citation PHYSICAL REVIEW E (2002), 65(6) Issue Date 2002-06 URL http://hdl.handle.net/2433/50310 RightCopyright 2002 American Physical

More information

Linear Theory of Evolution to an Unstable State

Linear Theory of Evolution to an Unstable State Chapter 2 Linear Theory of Evolution to an Unstable State c 2012 by William Klein, Harvey Gould, and Jan Tobochnik 1 October 2012 2.1 Introduction The simple theory of nucleation that we introduced in

More information

Step Bunching in Epitaxial Growth with Elasticity Effects

Step Bunching in Epitaxial Growth with Elasticity Effects Step Bunching in Epitaxial Growth with Elasticity Effects Tao Luo Department of Mathematics The Hong Kong University of Science and Technology joint work with Yang Xiang, Aaron Yip 05 Jan 2017 Tao Luo

More information

SUMMER SCHOOL - KINETIC EQUATIONS LECTURE II: CONFINED CLASSICAL TRANSPORT Shanghai, 2011.

SUMMER SCHOOL - KINETIC EQUATIONS LECTURE II: CONFINED CLASSICAL TRANSPORT Shanghai, 2011. SUMMER SCHOOL - KINETIC EQUATIONS LECTURE II: CONFINED CLASSICAL TRANSPORT Shanghai, 2011. C. Ringhofer ringhofer@asu.edu, math.la.asu.edu/ chris OVERVIEW Quantum and classical description of many particle

More information

Colloidal Crystal: emergence of long range order from colloidal fluid

Colloidal Crystal: emergence of long range order from colloidal fluid Colloidal Crystal: emergence of long range order from colloidal fluid Lanfang Li December 19, 2008 Abstract Although emergence, or spontaneous symmetry breaking, has been a topic of discussion in physics

More information

Exact Solutions of the Einstein Equations

Exact Solutions of the Einstein Equations Notes from phz 6607, Special and General Relativity University of Florida, Fall 2004, Detweiler Exact Solutions of the Einstein Equations These notes are not a substitute in any manner for class lectures.

More information

A model of alignment interaction for oriented particles with phase transition

A model of alignment interaction for oriented particles with phase transition A model of alignment interaction for oriented particles with phase transition Amic Frouvelle Institut de Mathématiques de Toulouse Joint work with Jian-Guo Liu (Duke Univ.) and Pierre Degond (IMT) Amic

More information

Phys 7221, Fall 2006: Midterm exam

Phys 7221, Fall 2006: Midterm exam Phys 7221, Fall 2006: Midterm exam October 20, 2006 Problem 1 (40 pts) Consider a spherical pendulum, a mass m attached to a rod of length l, as a constrained system with r = l, as shown in the figure.

More information

Xiaoming Mao Physics, University of Michigan, Ann Arbor. IGERT Summer Institute 2017 Brandeis

Xiaoming Mao Physics, University of Michigan, Ann Arbor. IGERT Summer Institute 2017 Brandeis Xiaoming Mao Physics, University of Michigan, Ann Arbor IGERT Summer Institute 2017 Brandeis Elastic Networks A family of discrete model networks involving masses connected by springs 1 2 kk( ll)2 Disordered

More information

arxiv: v1 [cond-mat.stat-mech] 10 Jul 2018

arxiv: v1 [cond-mat.stat-mech] 10 Jul 2018 Molecular search with conformational change: One-dimensional discrete-state stochastic model arxiv:1807.03740v1 cond-mat.stat-mech] 10 Jul 2018 Jaeoh Shin 1 1, 2, 3 and Anatoly B. Kolomeisky 1 Department

More information

Cluster mean-field approach to the steady-state phase diagram of dissipative spin systems. Davide Rossini. Scuola Normale Superiore, Pisa (Italy)

Cluster mean-field approach to the steady-state phase diagram of dissipative spin systems. Davide Rossini. Scuola Normale Superiore, Pisa (Italy) Cluster mean-field approach to the steady-state phase diagram of dissipative spin systems Davide Rossini Scuola Normale Superiore, Pisa (Italy) Quantum simulations and many-body physics with light Orthodox

More information

x + ye z2 + ze y2, y + xe z2 + ze x2, z and where T is the

x + ye z2 + ze y2, y + xe z2 + ze x2, z and where T is the 1.(8pts) Find F ds where F = x + ye z + ze y, y + xe z + ze x, z and where T is the T surface in the pictures. (The two pictures are two views of the same surface.) The boundary of T is the unit circle

More information

Surface stress-induced self-assembly

Surface stress-induced self-assembly Surface stress-induced self-assembly Zhigang Suo Work with Wei Lu Solid surface Liquid surface Stretched solid surface Energy per surface atom depends on stretch Stretched liquid surface Energy per surface

More information

Section B. Electromagnetism

Section B. Electromagnetism Prelims EM Spring 2014 1 Section B. Electromagnetism Problem 0, Page 1. An infinite cylinder of radius R oriented parallel to the z-axis has uniform magnetization parallel to the x-axis, M = m 0ˆx. Calculate

More information

Non-Equilibrium Fluctuations in Expansion/Compression Processes of a Single-Particle Gas

Non-Equilibrium Fluctuations in Expansion/Compression Processes of a Single-Particle Gas Non-Equilibrium Fluctuations in Expansion/Compression Processes o a Single-Particle Gas Hyu Kyu Pa Department o Physics, UNIST IBS Center or Sot and Living Matter Page 1 November 8, 015, Busan Nonequilibrium

More information

Modeling the Free Energy Landscape for Janus Particle Self-Assembly in the Gas Phase. Andy Long Kridsanaphong Limtragool

Modeling the Free Energy Landscape for Janus Particle Self-Assembly in the Gas Phase. Andy Long Kridsanaphong Limtragool Modeling the Free Energy Landscape for Janus Particle Self-Assembly in the Gas Phase Andy Long Kridsanaphong Limtragool Motivation We want to study the spontaneous formation of micelles and vesicles Applications

More information

xy 2 e 2z dx dy dz = 8 3 (1 e 4 ) = 2.62 mc. 12 x2 y 3 e 2z 2 m 2 m 2 m Figure P4.1: Cube of Problem 4.1.

xy 2 e 2z dx dy dz = 8 3 (1 e 4 ) = 2.62 mc. 12 x2 y 3 e 2z 2 m 2 m 2 m Figure P4.1: Cube of Problem 4.1. Problem 4.1 A cube m on a side is located in the first octant in a Cartesian coordinate system, with one of its corners at the origin. Find the total charge contained in the cube if the charge density

More information

Symmetries and collective Nuclear excitations PRESENT AND FUTURE EXOTICS IN NUCLEAR PHYSICS In honor of Geirr Sletten at his 70 th birthday

Symmetries and collective Nuclear excitations PRESENT AND FUTURE EXOTICS IN NUCLEAR PHYSICS In honor of Geirr Sletten at his 70 th birthday Symmetries and collective Nuclear excitations PRESENT AND FUTURE EXOTICS IN NUCLEAR PYSICS In honor of Geirr Sletten at his 70 th birthday Stefan Frauendorf, Y. Gu, Daniel Almehed Department of Physics

More information

arxiv: v1 [physics.class-ph] 13 Sep 2008

arxiv: v1 [physics.class-ph] 13 Sep 2008 1 arxiv:0809.2346v1 [physics.class-ph] 13 Sep 2008 14th Conference on Waves and Stability in Continuous Media, Baia Samuele, Sicily, Italy, 30 June - 7 July, 2007 Edited by N Manganaro, R Monaco and S

More information

Physics 111. Lecture 39 (Walker: 17.6, 18.2) Latent Heat Internal Energy First Law of Thermodynamics May 8, Latent Heats

Physics 111. Lecture 39 (Walker: 17.6, 18.2) Latent Heat Internal Energy First Law of Thermodynamics May 8, Latent Heats Physics 111 Lecture 39 (Walker: 17.6, 18.2) Latent Heat Internal Energy First Law of Thermodynamics May 8, 2009 Lecture 39 1/26 Latent Heats The heat required to convert from one phase to another is called

More information

PRINCIPLES OF NONLINEAR OPTICAL SPECTROSCOPY

PRINCIPLES OF NONLINEAR OPTICAL SPECTROSCOPY PRINCIPLES OF NONLINEAR OPTICAL SPECTROSCOPY Shaul Mukamel University of Rochester Rochester, New York New York Oxford OXFORD UNIVERSITY PRESS 1995 Contents 1. Introduction 3 Linear versus Nonlinear Spectroscopy

More information

collisions inelastic, energy is dissipated and not conserved

collisions inelastic, energy is dissipated and not conserved LECTURE 1 - Introduction to Granular Materials Jamming, Random Close Packing, The Isostatic State Granular materials particles only interact when they touch hard cores: rigid, incompressible, particles

More information

Nonequilibrium thermodynamics at the microscale

Nonequilibrium thermodynamics at the microscale Nonequilibrium thermodynamics at the microscale Christopher Jarzynski Department of Chemistry and Biochemistry and Institute for Physical Science and Technology ~1 m ~20 nm Work and free energy: a macroscopic

More information

Hydrodynamic limit and numerical solutions in a system of self-pr

Hydrodynamic limit and numerical solutions in a system of self-pr Hydrodynamic limit and numerical solutions in a system of self-propelled particles Institut de Mathématiques de Toulouse Joint work with: P.Degond, G.Dimarco, N.Wang 1 2 The microscopic model The macroscopic

More information

MR Fundamentals. 26 October Mitglied der Helmholtz-Gemeinschaft

MR Fundamentals. 26 October Mitglied der Helmholtz-Gemeinschaft MR Fundamentals 26 October 2010 Mitglied der Helmholtz-Gemeinschaft Mitglied der Helmholtz-Gemeinschaft Nuclear Spin Nuclear Spin Nuclear magnetic resonance is observed in atoms with odd number of protons

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

the expansion for the Helmholtz energy derived in Appendix A, part 2, the expression for the surface tension becomes: σ = ( a + ½ k(ρ) ρ 2 x ) dx

the expansion for the Helmholtz energy derived in Appendix A, part 2, the expression for the surface tension becomes: σ = ( a + ½ k(ρ) ρ 2 x ) dx Motivation The surface tension plays a major role in interfacial phenomena. It is the fundamental quantity that determines the pressure change across a surface due to curvature. This in turn is the basis

More information

AMME2261: Fluid Mechanics 1 Course Notes

AMME2261: Fluid Mechanics 1 Course Notes Module 1 Introduction and Fluid Properties Introduction Matter can be one of two states: solid or fluid. A fluid is a substance that deforms continuously under the application of a shear stress, no matter

More information

Lecture 2+3: Simulations of Soft Matter. 1. Why Lecture 1 was irrelevant 2. Coarse graining 3. Phase equilibria 4. Applications

Lecture 2+3: Simulations of Soft Matter. 1. Why Lecture 1 was irrelevant 2. Coarse graining 3. Phase equilibria 4. Applications Lecture 2+3: Simulations of Soft Matter 1. Why Lecture 1 was irrelevant 2. Coarse graining 3. Phase equilibria 4. Applications D. Frenkel, Boulder, July 6, 2006 What distinguishes Colloids from atoms or

More information

7 Landau Field Theory

7 Landau Field Theory 7 Landau Field Theory Nothing is real and nothing to get hung about, Strawberry Fields forever - J. Lennon, P. McCartney 7.1 What are fields? Field theory represents a means by which the state of a system

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

Physics 562: Statistical Mechanics Spring 2002, James P. Sethna Prelim, due Wednesday, March 13 Latest revision: March 22, 2002, 10:9

Physics 562: Statistical Mechanics Spring 2002, James P. Sethna Prelim, due Wednesday, March 13 Latest revision: March 22, 2002, 10:9 Physics 562: Statistical Mechanics Spring 2002, James P. Sethna Prelim, due Wednesday, March 13 Latest revision: March 22, 2002, 10:9 Open Book Exam Work on your own for this exam. You may consult your

More information

arxiv: v1 [cond-mat.soft] 22 Dec 2017

arxiv: v1 [cond-mat.soft] 22 Dec 2017 Active ideal sedimentation: Exact two-dimensional steady states Sophie Hermann and Matthias Schmidt Theoretische Physik II, Physikalisches Institut, Universität Bayreuth, D-9544 Bayreuth, Germany (Dated:

More information

Lecture Notes for PHY 405 Classical Mechanics

Lecture Notes for PHY 405 Classical Mechanics Lecture Notes for PHY 405 Classical Mechanics From Thorton & Marion s Classical Mechanics Prepared by Dr. Joseph M. Hahn Saint Mary s University Department of Astronomy & Physics September 1, 2005 Chapter

More information