Dynamics of polyelectrolytes and living polymers in shear flow
- P. B. Sunil Kumar
Department of Physics, IIT Madras.
1 Tuesday 10 August 2010
Dynamics of polyelectrolytes and living polymers in shear flow P. - - PowerPoint PPT Presentation
Dynamics of polyelectrolytes and living polymers in shear flow P. B. Sunil Kumar Department of Physics, IIT Madras. 1 Tuesday 10 August 2010 Hydrophilic Hydrophobic (a) Spherical Micelle, (b) Cylindrical Micelle, (c) Reverse Micelle, (d)
1 Tuesday 10 August 2010
Hydrophilic Hydrophobic
(a) Spherical Micelle, (b) Cylindrical Micelle, (c) Reverse Micelle, (d) Bilayer, (e) Hexagonal phase, (f) Vesicles
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Lerouge et al. PRL, 81, 5457 (1998)
Liu et al. PRL, 77, 2121 (1996)
Jayaraman et al. PRE, 67, 65301 (2003)
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[8] Padding J T and Boek E S 2004 Europhys. Lett. 66 756 [9] Padding J T and Boek E S 2004 Phys. Rev. E 70 031502 [10] Kr¨
Padding and Boek (2004): Atomistic MD simulations erucate than for EHAC surfactants to compute the mechanical properties of atomistic micelles such as persistence length, elastic modulus and scission energy
[16] Boek E S, den Otter W K, Briels W J and Iakovlev D 2004 Phil. Trans. R. Soc. A 362 1625 [17] den Otter W K, Shkulipa S A and Briels W J 2003 J. Chem. Phys. 119 2363
MD simulations of micelles consisting of coarse-grained (CG) mode surfactants to optimize the CG model with respect to the structure factor S(q) of the atomistic micelle at large values of the wavevector q. The CG model is used to extrapolate the structure factor for small q in order to obtain reliable values for the micelle bending rigidity and persistence length . Padding, Boek and Briels ((2005): a mesoscopic model of wormlike micelles, represented by chains which can break and recombine and can be subjected to shear flow. For this model, where the smallest length-scale is the persistence length, the elastic modulus , scission energy and persistence length are taken as input parameter from the atomistic and CG MD.
Tuesday 10 August 2010
Molecular Dynamics (MD) Special (DPD-)thermostat, #0&*+0+3(+."-2"0+%3$"1@ ! dissipative pair @1')+$ ! stochastic pair @1')+$
DPD (mesoscopic)
MD with special thermostat 8:1'A$"43.+'"+64#*#-'#40"B 313,+64#*#-'#40")13.#(#13$/ +C=C/"$5+%'#3=?
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S'10"%"(+)53#)%* &1#3("1@"7#+:"CCC
Soft-repulsive +@@+)(#7+"con- servative pair @1')+$"-+(:++3" 313,-13.+."8F[F,?"-+%.$
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N "dpd" particles interacting via conservative, dissipative and random pair wise interactions
Dissipative & random forces related through fluctuation-dissipation theorem Pair-wise random and dissipative forces conserve momentum Resulting in correct description of hydrodynamics Soft interactions allow for longer time steps, and therefore much longer times can be probed via DPD as opposed to MD
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For, W – W, W – I W – A, I – I, I – A
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For, A-A
r1 r3 r5
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Uijk = k3(1 − ˆ rij · ˆ rjk)
For LP For solvent
I1 – A’1 – A2 & A’1 – A2 – I2
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Three body potentials
for A1I1A1’ and A2I2A2’
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l Average polymer length Φ Monomer concentration
Branching reduces the average segment length
Cp
random percolation
and small segments
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Diffusive at low q: Zimm dynamics at large q:
N: total number of monomers Relaxation time
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Two classes of recombination kinetic: Mean field (MF) and Diffusion controlled (DC)
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0.01 0.1 1 10 0.1 1 10 100 G(t) t 0.01 0.1 1 10 0.1 1 10 100 G(t) t
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Macromolecule, 19, 1988 (1986)
C=3.0 C=4.0
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x y z
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y x z y x
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y x
y x z
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0.01 0.1 1 10 100 1000 1 10 100 1000 10000
2% 2.5% 2.6% 2.75% 3% 4% 0.01 0.1 1 10 100 1000 1 10 100 1000 10000
2% 2.5% 3% 4% 5%
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Cluster size distribution for a tetramer building block. Percolation at 3% concentration Cluster size distribution for a pentamer building block. Percolation at 2.75% concentration For larger segments the percolation is at a lower concentration
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1e-05 0.0001 0.001 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
Trimer Tetramer Pentamer
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Diffusion coefficient as a function of concentration for different building blocks
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a1 = a2 = 0.1
a1 = a2 = 0.1
a1 = a2 = 1.0
a1 = a2 = 1.0
a1 = a2 = 1.0
Trimer Tetramer Pentamer
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@A0'37*'B,(')'3$2$) ! 'BB"#&,2",280$,2+$,C7&*"&72A
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polymer solutions
transition as the concentration of polymer is increased
and stress correlation function shows that the model reproduces expected results.
subjected to simple shear
monomer concentration as the size of the basic building block ( molecular weight) is increased.
layering transition
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We now switch to polyelectrolytes
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