journal article·2023-08-11

Designing Scalable Anisotropically Conductive Thin Films Using Hot Drawing of Poly(vinyl alcohol)/Single-Walled Carbon Nanotube Composites

Camilo Zamora-Ledezma, Juan José Machare Gallardo, Jorge Luis Suárez-Fernández, Werner Brämer-Escamilla, Duncan John Mowbray

ACS Applied Polymer Materials· Volume 5· Issue 8
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Abstract

The production of industrially scalable conductive polymer-based composites (CPCs), with tailored physicochemical properties, such as anisotropic conductivity, has proved a formidable challenge in nanoscience and nanotechnology. This is because the final performance of such CPCs dramatically depends on the distribution and type of polymer matrix, the degree of spatial ordering, and the material’s percolation threshold. By adjusting the concentration of single-walled carbon nanotubes (SWCNTs) within a hot-drawn poly(vinyl alcohol) (PVA) composite, we show that a 10-fold increase in the CPC’s conductivity and a four-fold increase in its anisotropy may be obtained. Using a combination of Raman spectroscopy, density functional theory (DFT), and nonequilibrium Green’s function (NEGF)-based methods, we develop a general ab initio model, which describes qualitatively and semiquantitatively the measured conductivity of our PVA/SWCNT CPCs. The success of this model shows that the CPC’s conductivity is determined by (1) the connectivity of the SWCNT network within the polymer matrix, (2) the hopping resistance to intertube conductance, (3) the concentration of SWCNTs in the sample, and (4) the amount of stretching and concomitant orientational order parameter of the SWCNTs in the composite. Our combined experimental and theoretical approach provides a means for designing CPCs with given anisotropic conductivities based on SWCNTs within different polymer matrices and should prove highly relevant to a broad academic and industrial community interested in nanomaterial design.
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Research context

OpenAlex topics: Carbon Nanotubes in Composites · Advanced Sensor and Energy Harvesting Materials · Advanced Materials and Mechanics

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Green and Innovative Technologies for Food, Environment and Bioengineering Research Group (FEnBeT), Faculty of Pharmacy and Nutrition, UCAM-Universidad Católica San Antonio de Murcia, Campus de los Jerónimos 135, Guadalupe 30107, Murcia, Spain

School of Physical Sciences and Nanotechnology, Yachay Tech University, 100119 Urcuquí, Ecuador

Facultad de Ciencias Exactas, Físicas y Naturales, Universidad Nacional de Córdoba, Avenue Medina Allende s/n, Córdoba 5000, Argentina

Funding

Universidad Cat?lica de Murcia · Yachay Tech University

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