Boosting the Intelligent Development of Electromagnetic Shielding Polymer Composites by Expert Knowledge
Source abstract
Abstract
Abstract An intelligent process for developing electromagnetic interference (EMI) shielding composites is imperative to eliminate the escalating pollution of electromagnetic waves (EMWs). Meanwhile, integrating porous and/or layered structures with polymers is demonstrated as an effective approach. Herein, expert knowledge serves as the guidance of the Simulation‐First Strategy in designing shielding structures that incorporate MXene bubble wrap‐like aerogels (MBa‐bA), characterized by distinct bubble diameters a and densities b. The simulated EMI shielding efficiency (EMI SE) of corresponding MBa‐bA/polyethylene glycol (MBa‐bAP) composites is predicted through the finite element analysis (FEA) simulation. Subsequently, the MBa‐bAP composites are fabricated by template methods and exhibit an outstanding EMI SE of up to 83.1 dB and an ultrahigh SE of absorption (SEA) of 75.1 dB in X band at a = 10 µm and b = 0.50, perfectly aligning with the simulation outcomes. Combined with macro‐scale FEA simulation and experimental evidence, the pronounced EMWs attenuation effect, heat storage/release, and mechanical performances of MBa‐bAP composites are unequivocally substantiated. Based on these, this work proves the feasibility of the intelligent development strategy and provides a research basis for developing advanced EMI shielding materials directed by expert knowledge.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Electromagnetic wave absorption materials · Advanced Antenna and Metasurface Technologies · MXene and MAX Phase Materials
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Research Center of Nano Science and Technology College of Sciences Shanghai University Shanghai 200444 P. R. China
Materials Genome Institute Shanghai University Shanghai 200444 P. R. China
Zhejiang Laboratory Hangzhou 311100 P. R. China
Funding
National Basic Research Program of China · National Natural Science Foundation of China
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