Study of Absorption in Carbon Nanotube Composites from 1HZ to 40GHZ

Emplit, Aline; Huynen, Isabelle

doi:10.5121/jmicro.2017.2101

Cited by 9 publications

(9 citation statements)

References 11 publications

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“…As expected, the oxidized nature of graphene oxide (GO) confirmed by XPS induces a lower conductivity than for GNPs. In turn, the dielectric constant of the latter is higher due to its conductivity, according to the Maxwell Sillars effect described in [13] and model-predicted in ref. [14,21].…”

Section: Electrical Characterizationmentioning

confidence: 73%

“…We have systematically explored combinations of highly anisotropic NCS and spherical ferro-and ferri-magnetic nanoparticles (MNPs) (Figure 1b), in order to induce additional electromagnetic properties to the resulting composites. Indeed, MNPs show intrinsic resonance of their permeability µ in the range of 4-40 GHz, while a short distance between NCS induces huge coupling capacitances responsible for relaxation in the GHz-range [13,14], and for enhanced permittivity ε r . Controlling the composition and surface chemistry of the carbonaceous components and metal inclusions optimizes their combined nanostructuration (Figure 1c).…”

Section: Selection and Combination Of Nano-inclusionsmentioning

confidence: 99%

“…Sci. 2019, 9, x FOR PEER REVIEW 3 of 19 while a short distance between NCS induces huge coupling capacitances responsible for relaxation in the GHz-range [13,14], and for enhanced permittivity r. Controlling the composition and surface chemistry of the carbonaceous components and metal inclusions optimizes their combined nanostructuration (Figure 1c).…”

Section: Selection and Combination Of Nano-inclusionsmentioning

confidence: 99%

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Smart Nanocomposites for Nanosecond Signal Control: The Nano4waves Approach

et al. 2020

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The NANO4WAVES project has demonstrated the potential of a clever organization of nanoscale inclusions in polymer matrices or inks, e.g., carbon nanotubes, graphene, metallic nanoparticles, for controlling the electromagnetic propagation at wavelengths ranging from micrometers up to tenths of centimeters, with a particular focus on broadband absorption. This paper illustrates the versatility of our approach, encompassing the synthesis of various nano-objects, their dispersion and organization at the macroscopic level, and their state-of-the-art characterization for the realization of efficient novel microwave absorbers.

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Section: Electrical Characterizationmentioning

confidence: 73%

Section: Selection and Combination Of Nano-inclusionsmentioning

confidence: 99%

Section: Selection and Combination Of Nano-inclusionsmentioning

confidence: 99%

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Smart Nanocomposites for Nanosecond Signal Control: The Nano4waves Approach

et al. 2020

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“…This machine utilizes the concept of measuring the transmitted and reflected waves as a signal passes through a device under test [11]. This measurement method is used on a large scale of recent research; it is considered as a shorthand way to identify the absorption index over large selective frequencies based on S-parameters [12,13].…”

Section: Introductionmentioning

confidence: 99%

Simulation and Optimization of Electromagnetic Absorption of Polycarbonate/CNT Composites Using Machine Learning

et al. 2020

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Electronic devices that transmit, distribute, or utilize electrical energy create electromagnetic interference (EMI) that can lead to malfunctioning and degradation of electronic devices. EMI shielding materials block the unwanted electromagnetic waves from reaching the target material. EMI issues can be solved by using a new family of building blocks constituted of polymer and nanofillers. The electromagnetic absorption index of this material is calculated by measuring the “S-parameters”. In this article, we investigated the use of artificial intelligence (AI) in the EMI shielding field by developing a new system based on a multilayer perceptron neural network designed to predict the electromagnetic absorption of polycarbonate-carbon nanotubes composites films. The proposed system included 15 different multilayer perception (MLP) networks; each network was specialized to predict the absorption value of a specific category sample. The selection of appropriate networks was done automatically, using an independent block. Optimization of the hyper-parameters using hold-out validation was required to ensure the best results. To evaluate the performance of our system, we calculated the similarity error, precision accuracy, and calculation time. The results obtained over our database showed clearly that the system provided a very good result with an average accuracy of 99.7997%, with an overall average calculation time of 0.01295 s. The composite based on polycarbonate−5 wt.% carbon nanotube was found to be the ultimate absorber over microwave range according to Rozanov formalism.

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“…Carbon nanotubes (CNTs) allow a fine interaction with the electric field required for polarization like metal grid, but without considerably reflecting the energy as a metal . Currently, polymer‐CNT composites are widely used for broadband absorption or microwave polarization . Our twist polarizer operates over the GHz‐range and has the advantage of a thickness ∼100 times lower than the wavelength.…”

Section: Introductionmentioning

confidence: 99%

Flexible twist polarizer based on ultrathin multi‐layered polymer‐carbon nanotubes composite films

Danlée

Huynen

Bailly

2017

Micro & Optical Tech Letters

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We present an ultrathin and flexible microwave broadband polarization transformer concept based on oriented carbon nanotubes dispersed in a polycarbonate matrix. Stacking anisotropic composite films with a controlled angle mismatch between successive layers produces a twist polarizer able to change the orientation of the electric field over broad frequency range in the microwave domain. The smart organization confers to the multilayer a high efficiency measured as a degree of twist, which reaches 75.1% at GHz frequencies for a 420 μm thick seven‐layer stack.

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Study of Absorption in Carbon Nanotube Composites from 1HZ to 40GHZ

Abstract: ABSTRACT

Cited by 9 publications

References 11 publications

Smart Nanocomposites for Nanosecond Signal Control: The Nano4waves Approach

Smart Nanocomposites for Nanosecond Signal Control: The Nano4waves Approach

Simulation and Optimization of Electromagnetic Absorption of Polycarbonate/CNT Composites Using Machine Learning

Flexible twist polarizer based on ultrathin multi‐layered polymer‐carbon nanotubes composite films

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