Monte Carlo simulation studies on the effect of entropic attraction on the electric conductivity in polymer nano-composites.
The effect of non-conductive nano-particles on the electrical percolating network formation and the electrical conductivity of conductive nano-particles in polymer matrices is investigated using Monte Carlo simulations and a percolation theory. Both conductive and non-conductive nano-particles are modeled as spheres but with different diameters. Non-conductive nano-particles are up to four times bigger than conductive nano-particles. Equilibrated configurations for mixtures of nano-particles are obtained via Monte Carlo simulations and are used to estimate the probability (P) of forming an electrical percolating network and the percolation threshold conductive nano-particle volume fraction (phi(c)). As the volume fraction (phi(nc)) of non-conductive nano-particles increases, phi(c) decreases significantly, thus increasing the electrical conductivity. When non-conductive nano-particles mix with conductive nano-particles, they make the effective interaction energy W(r) between conductive nano-particles attractive, which should facilitate the formation of the electrical percolating network. For a given phi(nc), phi(c) increases slightly with an increase in the non-conductive nano-particle diameter (sigma(nc)). We also carry out simulations with non-conductive nano-particles of different structures and find that phi(c) is relatively insensitive to the non-conductive nano-particle structure.
Hyun Woo
HW
Cho
Seungwoong
S
Nam
Gyemin
G
Kwon
Heesuk
H
Kim
Bong June
BJ
Sung