@article {10.3844/ajassp.2012.1113.1123,
article_type = {journal},
title = {Ising Model for Conductive Percolation in Electrically Conductive Adhesives by Considering Random Arrangement of Conducting Particles},
author = {Mora, and Saehana, Sahrul and Sustini, Euis and Khairurrijal, and Abdullah, Mikrajuddin},
volume = {9},
year = {2012},
month = {May},
pages = {1113-1123},
doi = {10.3844/ajassp.2012.1113.1123},
url = {https://thescipub.com/abstract/ajassp.2012.1113.1123},
abstract = {Problem statement: Thermodynamically, particles in composites will arrange in a way such that the Helmholtz free energy is minimized. However, even a single structure has the lowest free energy, it should not ignore the probability of other structures having larger energies to occur, although at small chances. Approach: All possible arrangements of particles in the composites, therefore, must be taken into account in the theory or simulation development. Results: The composite energy depends on the interaction between components in the composites. To consider the effect of interactions on energy, in this study we used a simple Ising model incorporated with the Bragg-Williams approximation. We used the model to predict the average packing fraction and the percolation threshold in composites as well as other quantities related to percolation phenomenon. Conclusion/Recommendations: We found several predictions that have not been reported by previous authors. This model can be important in the understanding conductivity development in electrically conductive adhesive composites.},
journal = {American Journal of Applied Sciences},
publisher = {Science Publications}
}