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

Abstract

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.

Synergistic effects of fly ash on thermal, combustion, and mechanical properties of polypropylene including intumescent flame retardant

“…Therefore, many studies have been conducted to explore alternative applications for FA 4–7 . One promising area is its utilization in the production of composite materials 8–14 . By incorporating FA into composite material production, it becomes possible to enhance the properties of the resulting composites and simultaneously reduce production costs.…”

“…[4][5][6][7] One promising area is its utilization in the production of composite materials. [8][9][10][11][12][13][14] By incorporating FA into composite material production, it becomes possible to enhance the properties of the resulting composites and simultaneously reduce production costs. This approach offers a dual benefit of improving material characteristics while mitigating environmental pollution.…”

Tri‐metallic quantum dot under the influence of solvent additive for improved performance of polymer solar cells

“…One of the current routes of boosting the performance of PSCs is the incorporation of inorganic colloidal QDs due to their outstanding features such as tunable band gap, excellent optical absorption coefficient, multiple exciton generation and high carrier mobilities. This is in addition to several uses and applications of colloidal QDs and other conjugated nanocomposites, especially in improving the properties as well as the performance of conducting polymers and solar absorbers 21–23 …”

“…This is in addition to several uses and applications of colloidal QDs and other conjugated nanocomposites, especially in improving the properties as well as the performance of conducting polymers and solar absorbers. [21][22][23] One of the major energy loss processes that reduce the overall performance of the organic solar cell is rapid charge carrier cooling which harms the maximum achievable solar cell efficiency limit according to the Shockley-Queisser model (SQ limit), which is band-gap (Eg) dependent. 24,25 Multiple exciton generation (MEG) is a process that can occur in quantumconfined semiconductors such as quantum dots by which the energy of an absorbed photon above the bandgap can be used to create one or more additional exciton instead of being wasted as heat.…”

Revolutionizing Electromagnetic Materials: Machine Learning Enabled Optimization of Polymer Nanocomposites for Enhanced Performance

“…[28][29][30][31][32][33][34] Armed with these data models, researchers can predict the theoretical maximum performance and subsequently verify these predictions through experimental validation to attain optimal results in practice. [26][27][28][29][30][31][32][33][34] The utilization of a materials data-driven discovery approach presents distinct advantages over an analytical approach,…”