libRL: A Python library for the characterization of microwave absorption

Green, Michael A.; Chen, Xiaobo

doi:10.21105/joss.01868

Cited by 11 publications

(10 citation statements)

References 5 publications

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“…Based on the predicted

ε'

and

ε ″

, the RL was simulated for 0.5 to 6 mm thickness (with 0.1 mm interval) for 1.5 wt% to 24.5 wt% PANI‐FAC loading using Python libRL library 38 . The predicted thickness‐dependent RL of 1.5–24.5 wt% PANI‐FAC was shown in Figure S1 (Supporting information).…”

Section: Resultsmentioning

confidence: 99%

Data‐driven methodology to realize strong and broadband microwave absorption properties of polymer‐fly ash cenosphere composite

Bora

Mahanta

Kishore

et al. 2021

J of Applied Polymer Sci

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A very efficient microwave absorption characteristic of conducting polymer (polyaniline or PANI) incorporated fly ash cenosphere (FAC), which is a waste of thermal power plant, is revealed in this work with materials data‐driven approach. The different loading (wt%) of PANI‐FAC hybrids to a polymer such as polyvinyl butyral (PVB) results in different reflection loss (RL). However, RL performances do not improve by simply increasing the PANI‐FAC hybrid loading (wt%) to PVB. Herein, PANI‐FAC loading to PVB is optimized through the electromagnetic data‐driven methodology. A remarkable RL ≤ − 40 dB with entire X‐band (8.2–12.4 GHz) absorption bandwidth (RL ≤ −10 dB, RL value −10 dB corresponds to 90% absorption) is predicted for 8.5 wt% PANI‐FAC hybrid loaded PVB‐PANI‐FAC composite. The predicted RL matched with experimental data (minimum RL value −44.5 dB with X‐band absorption bandwidth), confirming the proposed proof of concept of data‐driven methodology to obtain broadband and robust microwave absorption characteristics of polymer‐FAC composites.

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“…Based on the predicted

ε'

and

ε ″

Section: Resultsmentioning

confidence: 99%

Data‐driven methodology to realize strong and broadband microwave absorption properties of polymer‐fly ash cenosphere composite

Bora

Mahanta

Kishore

et al. 2021

J of Applied Polymer Sci

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“…Using the predicted ε′ and ε″ data sets, the RL was simulated for 0.5 to 6 mm thickness (with 0.5 mm interval) for 0.2 to 59.9 wt % PANI-Ti 3 C 2 T x MXene loading using Python libRL library . The thickness-dependent predicted RL of 5.5–25 wt % PANI-Ti 3 C 2 T x MXene is shown in Figure .…”

Section: Resultsmentioning

confidence: 99%

Electromagnetic Data-Driven Approach to Realize the Best Microwave Absorption Characteristics of MXene-Based Nanocomposites

Bora

Mahanta

Anil

et al. 2021

ACS Appl. Electron. Mater.

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The polymer composite-based microwave absorption material is highly valued in stealth technology, military, wireless technology, self-powered devices, and telecommunication. In this work, microwave absorption characteristics of different compositions of polyaniline (PANI)-Ti3C2T x MXene (a family of 2D material) hybrid loaded polyvinyl butyral (PVB), viz., the PVB-PANI-Ti3C2T x MXene nanocomposite, are explored with an electromagnetic data-driven approach. The significance of the proposed electromagnetic data-driven approach is that, through this, the reflection loss (RL) characteristics (minimum RL value and RL ≤ −10 dB bandwidth) can be identified for any PANI-Ti3C2T x MXene loading (wt %) to PVB and hence easily realize the optimal RL performance of the PVB-PANI-Ti3C2T x MXene nanocomposite. Herein, based on the few experimental electromagnetic data of different wt % of PANI-Ti3C2T x MXene loading in PVB, the electromagnetic response for compositions of 0.2–59.9 wt % were modeled, and a remarkable RL value of −59.5 dB in X-band (8.2–12.4 GHz) for 1.5 mm thickness was predicted for 23.5 wt % PANI-Ti3C2T x MXene. The predicted RL matched with experimental data. This data-driven approach is generalizable for electromagnetic composites to better understand the RL characteristics.

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“…These permittivity and permeability values as shown in Figure were used to determine the RL of the analyte materials via eqs and derived from transmission-line theory for single plane-wave absorbers. ,, The calculations were executed over a 0.10 × 0.10 ( f , d ) gridspace, as described in the standard protocol for the use in the included libRL.reflection_loss() function . For the two materials, peak RL values were as follows: for 10.0 wt %, −41.30 dB at ( f , d ) coordinates (15.40 GHz, 18.7 mm); for 50.0 wt %, −10.2 dB at ( f , d ) coordinates (15.00 GHz, 1.30 mm).…”

Section: Resultsmentioning

confidence: 99%

“…For the permittivity/permeability constant measurements, the mass content was controlled at varying weight percentages. The results were analyzed using the libRL library (version 1.2.0), which includes libRL.characterization() for calculating the attenuation, conductivity, and skin depth; libRL.reflection_loss() for the RL calculations; and the libRL.band_analysis() for the band analytics characterization at a threshold of −10 dB. Instructions for installation and use of this library are included in the supplemental file.…”

Section: Methodsmentioning

confidence: 99%

Realizing Maximum Microwave Absorption of Poly(3,4-ethylenedioxythiophene) with a Data-Driven Method

Green

Tran

Chen

2020

ACS Appl. Electron. Mater.

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Large reflection loss (RL) and broad effective bandwidth (Δf 10 ) are two of the most important parameters for microwave-absorbing materials (MAMs). In this article, we report that a strong and broad microwave absorption can be obtained with poly(3,4-ethylenedioxythiophene) (PEDOT), with record-setting values over previous studies. These record-setting values are derived using a data-driven method to optimize the response parameters. We demonstrate that RL values are achieved of −54.0 dB centering 8.3 GHz with 3.4 mm thick 30.0 wt % PEDOT film and −42.6 dB centering 17.0 GHz with 1.5 mm film for 40.0 wt % PEDOT; Δf 10 values of 5.8 and 5.2 GHz are shown with a film thickness of 2.1 and 1.7 mm, respectively.

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libRL: A Python library for the characterization of microwave absorption

Cited by 11 publications

References 5 publications

Data‐driven methodology to realize strong and broadband microwave absorption properties of polymer‐fly ash cenosphere composite

Data‐driven methodology to realize strong and broadband microwave absorption properties of polymer‐fly ash cenosphere composite

Electromagnetic Data-Driven Approach to Realize the Best Microwave Absorption Characteristics of MXene-Based Nanocomposites

Realizing Maximum Microwave Absorption of Poly(3,4-ethylenedioxythiophene) with a Data-Driven Method

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