Publications by authors named "Ali Tehrani B"

The search for materials with better performance, longer service life, lower environmental impact, and lower overall cost is at the forefront of polymer science and material engineering. This has led to the development of self-healing polymers with a range of healing mechanisms including capsular-based, vascular, and intrinsic self-healing polymers. The development of self-healable systems has been inspired by the healing of biological systems such as skin wound healing and broken bone reconstruction.

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Article Synopsis
  • The authors present a new elliptic percolation model aimed at predicting the electrical conductivity of graphene-polymer composites.
  • The model incorporates factors such as the distribution and connectivity of graphene within the polymer matrix to improve accuracy.
  • Results show that the model effectively captures the conductivity behavior across different composite formulations, making it a useful tool for future materials design.
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Graphene-based polymers exhibit a conductive microstructure formed by aggregates in a matrix which drastically enhances their transmitting properties. We develop a new numerical framework for predicting the electrical conductivity based on continuum percolation theory in a two dimensional stochastically-generated medium. We analyze the role of the flake shape and its aspect ratio and consequently predict the onset of percolation based on the particle density and the domain scale.

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