Showing papers by "Marwan Al-Haik published in 2003"
TL;DR: In this paper, the thermal and electrical properties of single wall carbon nanotube (CNT)-polymer composites are significantly enhanced by magnetic alignment during processing, and the electrical transport properties are mainly governed by the hopping conduction with localization lengths comparable to bundle diameters.
Abstract: We show that the thermal and electrical properties of single wall carbon nanotube (CNT)-polymer composites are significantly enhanced by magnetic alignment during processing. The electrical transport properties of the composites are mainly governed by the hopping conduction with localization lengths comparable to bundle diameters. The bundling of nanotubes during the composite processing is an important factor for electrical, and in particular, for thermal transport properties. Better CNT isolation will be needed to reach the theoretical thermal conductivity limit for CNT composites.
542 citations
173 citations
TL;DR: The present study demonstrates for the first time the feasibility of introducing the TN method, with quadratic convergence rate, to the field of neural networks, and provides comparative experimental results and explicit model results to verify the effectiveness of the neural networks-based model.
20 citations