Development of an Equation to Model Electrical Conductivity of Polymer-Based Carbon Nanocomposites

Taherian, Reza

doi:10.1149/2.023406jss

Cited by 83 publications

(61 citation statements)

References 76 publications

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“…In general, the Fourier model is very similar to the sigmoidal model [16] by both the "S"-like shape, which qualitatively corresponds to a typical percolation curve, and the influence of most parameters on the value of the total electrical conductivity of the system. The main variable parameter of the Fourier model is the parameter b, which changes the shape of the curve.…”

Section: The Fourier Modelmentioning

confidence: 78%

Analysis of Percolation Behavior of Electrical Conductivity of the Systems Based on Polyethers and Carbon Nanotubes

Lysenkov¹,

Klepko²

2016

J. Nano- Electron. Phys.

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The basic theoretical models of electrical conductivity of polymer nanocomposites and their accordance to experimental results are analyzed for the systems based on polyethers and carbon nanotubes using the methods of mathematical simulation. It is established that models which are based on the effective medium approximation do not take into account existence of percolation threshold and cannot be used for exact definition of experimental data. It is discovered that the Fourier model demonstrates a good accordance with an experiment, however it is applicable only for the systems in which a large increase of conductivity under reaching the percolation threshold is observed, that is the systems with low intrinsic conductivity. It is set that the best accordance to experimental data was shown by the Kirkpatrick model and the generalized McLachlan model, which, except for the percolation threshold, take into account the structural description of clusters formed from carbon nanotubes.

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Section: The Fourier Modelmentioning

confidence: 78%

Analysis of Percolation Behavior of Electrical Conductivity of the Systems Based on Polyethers and Carbon Nanotubes

Lysenkov¹,

Klepko²

2016

J. Nano- Electron. Phys.

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“…where A 1 and A 2 represent limiting conductivity values, B is the slope and the rest of parameters preserves the meaning mentioned previously. This model has been validated for both micro and nanofillers . The fitting procedure utilizing the experimental data (Figure ) yielded percolation threshold at approximately 19 % wt.…”

Section: Resultsmentioning

confidence: 96%

Tuning of the Seebeck Coefficient and the Electrical and Thermal Conductivity of Hybrid Materials Based on Polypyrrole and Bismuth Nanowires

et al. 2018

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The growing demand for clean energy catalyzes the development of new devices capable of generating electricity from renewable energy resources. One of the possible approaches focuses on the use of thermoelectric materials (TE), which may utilize waste heat, water, and solar thermal energy to generate electrical power. An improvement of the performance of such devices may be achieved through the development of composites made of an organic matrix filled with nanostructured thermoelectric materials working in a synergetic way. The first step towards such designs requires a better understanding of the fundamental interactions between available materials. In this paper, this matter is investigated and the questions regarding the change of electrical and thermal properties of nanocomposites based on low-conductive polypyrrole enriched with bismuth nanowires of well-defined geometry and morphology is answered. It is clearly demonstrated that the electrical conductivity and the Seebeck coefficient may be tuned either simultaneously or separately within particular Bi NWs content ranges, and that both parameters may be increased at the same time.

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“…When the amount of the electronic filler loaded in the composite exceeds the percolation threshold (bottom-line for the percolation network formation), conductive pathways for carrier transport are generated in the composite. [52][53][54] As such, higher filler contents above the percolation thresholds lead to the dramatic increase in conductivity of the percolation network. When the filler of the too much amount is loaded, however, the crosslinking density of the elastomer network becomes lowered, causing an overall degradation of the mechanical performance of the elastomers such as strain durability and/or mechanical toughness.…”

Section: Electronic Fillersmentioning

confidence: 99%

Material‐Based Approaches for the Fabrication of Stretchable Electronics

et al. 2019

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exhibits high potential for a wide range of bio-electronics applications that need to be mechanically deformable, such as personalized healthcare systems, [4,5] wearable smart displays, [6][7][8] and implantable prosthetic devices, [9][10][11] while rigid electronics suffer in fully exhibiting their original performance on such applications.The evolution of stretchable electronics was initially driven by advancements in human bio-signal sensing technologies. A variety of stretchable sensors, such as thermal sensors (e.g., temperature, thermal conductivity), [12][13][14] mechanical sensors (e.g., strain, pressure), [15][16][17] optical sensors (e.g., pulse oximetry, photoplethysmogram (PPG)), [6,18,19] electrophysiology (EP) sensors (e.g., electroencephalogram (EEG), electrocardiogram (ECG)), [20][21][22] and biochemical sensors (e.g., glucose, pH), [23][24][25][26] have been developed aided by unconventional electronic materials and device designs. As these stretchable sensors tend to mimic the unique mechanical properties of soft and deformable human tissues, stable conformal contact between these sensors and human skin and/or internal organs is achievable. This unique biotic/abiotic interfacing results in outstanding sensing accuracies and extraordinary signal-to-noise ratios that surpass the performance of rigid bio-sensing devices.As stretchable sensor technology has evolved, there has been a growing demand for other stretchable electronic components capable of processing signals retrieved from stretchable sensors. The stretchable electronics research direction has therefore moved toward building stretchable integrated electronic systems that consist not only of stretchable sensory components, but also of other advanced stretchable electronic components for signal processing, feedback actuation, real-time display, wireless communication, and power supply. [27,28] Considerable research effort has been devoted by material scientists and device engineers to achieving fully integrated stretchable electronic systems.The research approaches to such stretchable sensors, additional electronic components, and fully integrated systems are largely categorized by two strategies, namely the "structurebased" and "material-based" approaches. For the structurebased approach, technologies for conventional electronics are utilized to build stretchable electronic systems in which the superb performance of conventional electronics can be fully Stretchable electronics are mechanically compatible with a variety of objects, especially with the soft curvilinear contours of the human body, enabling human-friendly electronics applications that could not be achieved with conventional rigid electronics. Therefore, extensive research effort has been devoted to the development of stretchable electronics, from research on materials and unit device, to fully integrated systems. In particular, material-processing technologies that encompass the synthesis, assembly, and patterning of intrinsically stretchable electronic materials have been ac...

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Development of an Equation to Model Electrical Conductivity of Polymer-Based Carbon Nanocomposites

Cited by 83 publications

References 76 publications

Analysis of Percolation Behavior of Electrical Conductivity of the Systems Based on Polyethers and Carbon Nanotubes

Analysis of Percolation Behavior of Electrical Conductivity of the Systems Based on Polyethers and Carbon Nanotubes

Tuning of the Seebeck Coefficient and the Electrical and Thermal Conductivity of Hybrid Materials Based on Polypyrrole and Bismuth Nanowires

Material‐Based Approaches for the Fabrication of Stretchable Electronics

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