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Thermoresistivity with insights into piezoresistive behavior with conductive network evolution in hybrid nanocomposites of different dimension nanoparticles
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DOI：10.1016/j.diamond.2026.114033.png)
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Abstract
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This work presents a new modeling strategy to investigate quantum tunneling phenomena in nanocomposites embedded with carbon nanotubes (CNTs) and graphene nanoplatelets (GNPs), employing a Monte Carlo-based conductive network simulation. Departing from conventional approaches, the proposed multistep percolation model accounts for changes in inter-filler spacing and adaptively updates tunneling resistance in response to CNT-GNP interactions. The model incorporates temperature-dependent charge transport by accounting for the combined contributions of hopping conduction and thermally activated tunneling. It also explores how different conduction mechanisms influence thermoresistivity across varying CNT and GNP volume fractions. To interpret the conduction behavior, hopping conduction and fluctuation-induced tunneling are incorporated into the tunneling conductivity model. Findings reveal that in CNT-based nanocomposites, electrical resistance tends to decrease with increasing temperature, primarily due to enhanced hopping conduction. Additionally, the findings indicate that the alignment of fillers leads to increased piezoresistivity.
Keywords:
Quantum tunneling
Thermoresistivity
Percolation modeling
CNT/GNP nanocomposite
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