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

Bora, PJ and Mahanta, B and Anil, AG and Tan, DQ and Ramamurthy, PC (2021) Electromagnetic Data-Driven Approach to Realize the Best Microwave Absorption Characteristics of MXene-Based Nanocomposites. In: ACS Applied Electronic Materials, 3 (10). pp. 4558-4567.

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Official URL: https://doi.org/10.1021/acsaelm.1c00693


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)-Ti3C2Tx MXene (a family of 2D material) hybrid loaded polyvinyl butyral (PVB), viz., the PVB-PANI-Ti3C2Tx 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-Ti3C2Tx MXene loading (wt %) to PVB and hence easily realize the optimal RL performance of the PVB-PANI-Ti3C2Tx MXene nanocomposite. Herein, based on the few experimental electromagnetic data of different wt % of PANI-Ti3C2Tx 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-Ti3C2Tx MXene. The predicted RL matched with experimental data. This data-driven approach is generalizable for electromagnetic composites to better understand the RL characteristics.

Item Type: Journal Article
Publication: ACS Applied Electronic Materials
Publisher: American Chemical Society
Additional Information: The copyright for this article belongs to American Chemical Society
Keywords: data-driven discovery; microwave absorption; MXene; PANI; polymer
Department/Centre: Division of Mechanical Sciences > Materials Engineering (formerly Metallurgy)
Date Deposited: 18 Apr 2023 10:10
Last Modified: 18 Apr 2023 10:10
URI: https://eprints.iisc.ac.in/id/eprint/80664

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