CONCEPT IN SOFT MATTER SYSTEM
SIMULATION OF CORONAL DYNAMICS OF POLYMER-
GRAFTED NANOPARTICLE
PRESENTED BY:-
ASHISH KUMAR SINGH
PB22MTECH11003
CONTENTS
INDRODUCTION
METHODOLOGY FOR PGNP
APPLICATION
WHY DYNMICS OF POLYMER CHAIN
SIMULATION OUTCOMES
CONCLUSION
INDRODUCTION:-
POLYMER-GRAFTED NANOPARTICLES
METHODOLOGY FOR PNGP:-
 In Development of many advance material
 Antibacterial Material
Biocompatible Material
Sensor Material
APPLICATION:-
WHY DYNAMICS OF POLYMER CHAIN:-
Play an important role in-
 Stress relaxation modulus
 Fracture mechanics
 Transport phenomena
 Energy dissipation
The Rouse description of the dynamics is based on a friction
coefficient for segments of the polymer chain (ζp) that
scales linearly with the number of monomers in that segment
(i.e., ζp = pζ)
Where
ηs is the local viscosity
b is the Kuhn length
ν is the Flory exponent
N is the degree of polymerization of the chain
 The Zimm description of polymer dynamics is based on a
friction coefficient that is proportional to the size of the chain or
segment of interest
 scaling exponent of 3ν instead of 1 + 2ν.
 The Zimm model is most appropriate for solution whereas the
Rouse model is better for polymer melts
SIMULATION OUTCOMES:-
v In PGNP, two regions is form in consideration
of the relaxation dynamics of the of the polymer. The region
near the nanoparticle surface is more stretched and
highly dense than the region away from the nanoparticle surface
v Near the nanoparticles surface curvature, the relaxation time is
more than the outer part
v It is found that the relaxation time of the inner regions, relaxation
times were approximately 2-3 times longer than those in the
outer regions
 IN core- modified dissipative particle dynamics (CM-DPD)
simulations, it is found that the grafted polymer relaxation time
more than the free chain polymer and the relaxation time is
inversely vary with the confinement strength
Relaxation time τ1 vs function of ξ*. Solid and dashed lines are to the melt
and solution data
 Diffusion exponent α plotted as a function of confinement
parameter ξ*
correspond to PGNPs in the melt and squares
correspond to PGNPs in solution.
vThe relaxation time of the grafted chain is also dependent on
the molecular weight, grafting density and nanoparticle
concentration
Representative snapshot of a typical simulated system. For clarity, the solvent has been omitted. The (Right)
Represent the PGNP.
CONCLUSION:-
 Grafted chains express larger values of Rg than free
chains due to spatial confinement by neighboring chains
 Simulations suggest that for ξ* < 1, the relaxation processes are
Rouse-like regardless of whether the PGNPs are in solution or a
polymer melt
 For ξ* > 1, the relaxation processes are Rouse-like
in the melt and may be Zimm-like in solution
Additional neutron spin echo NSE measurements of PGNPs in both
the melt and solution states would be useful to compare to CM-DPD
simulations
 which predict that the stretching of the grafted chains should be
weaker in the melt and the scaling of τ with q should be stronger than
was measured for PGNPs in solution

SIMULATION OF CORONAL DYNAMICS OF  POLYMER-GRAFTED NANOPARTICLE

  • 1.
    CONCEPT IN SOFTMATTER SYSTEM SIMULATION OF CORONAL DYNAMICS OF POLYMER- GRAFTED NANOPARTICLE PRESENTED BY:- ASHISH KUMAR SINGH PB22MTECH11003
  • 2.
    CONTENTS INDRODUCTION METHODOLOGY FOR PGNP APPLICATION WHYDYNMICS OF POLYMER CHAIN SIMULATION OUTCOMES CONCLUSION
  • 3.
  • 4.
  • 5.
     In Developmentof many advance material  Antibacterial Material Biocompatible Material Sensor Material APPLICATION:-
  • 6.
    WHY DYNAMICS OFPOLYMER CHAIN:- Play an important role in-  Stress relaxation modulus  Fracture mechanics  Transport phenomena  Energy dissipation
  • 7.
    The Rouse descriptionof the dynamics is based on a friction coefficient for segments of the polymer chain (ζp) that scales linearly with the number of monomers in that segment (i.e., ζp = pζ) Where ηs is the local viscosity b is the Kuhn length ν is the Flory exponent N is the degree of polymerization of the chain
  • 8.
     The Zimmdescription of polymer dynamics is based on a friction coefficient that is proportional to the size of the chain or segment of interest  scaling exponent of 3ν instead of 1 + 2ν.  The Zimm model is most appropriate for solution whereas the Rouse model is better for polymer melts
  • 9.
    SIMULATION OUTCOMES:- v InPGNP, two regions is form in consideration of the relaxation dynamics of the of the polymer. The region near the nanoparticle surface is more stretched and highly dense than the region away from the nanoparticle surface v Near the nanoparticles surface curvature, the relaxation time is more than the outer part v It is found that the relaxation time of the inner regions, relaxation times were approximately 2-3 times longer than those in the outer regions
  • 10.
     IN core-modified dissipative particle dynamics (CM-DPD) simulations, it is found that the grafted polymer relaxation time more than the free chain polymer and the relaxation time is inversely vary with the confinement strength Relaxation time τ1 vs function of ξ*. Solid and dashed lines are to the melt and solution data
  • 11.
     Diffusion exponentα plotted as a function of confinement parameter ξ* correspond to PGNPs in the melt and squares correspond to PGNPs in solution.
  • 12.
    vThe relaxation timeof the grafted chain is also dependent on the molecular weight, grafting density and nanoparticle concentration Representative snapshot of a typical simulated system. For clarity, the solvent has been omitted. The (Right) Represent the PGNP.
  • 13.
    CONCLUSION:-  Grafted chainsexpress larger values of Rg than free chains due to spatial confinement by neighboring chains  Simulations suggest that for ξ* < 1, the relaxation processes are Rouse-like regardless of whether the PGNPs are in solution or a polymer melt  For ξ* > 1, the relaxation processes are Rouse-like in the melt and may be Zimm-like in solution Additional neutron spin echo NSE measurements of PGNPs in both the melt and solution states would be useful to compare to CM-DPD simulations  which predict that the stretching of the grafted chains should be weaker in the melt and the scaling of τ with q should be stronger than was measured for PGNPs in solution