ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026
Machine Learning Driven Window Blinds Inspired Porous Carbon-Based Flake for Ultra-Broadband Electromagnetic Wave Absorption.
Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
The core challenge in developing lightweight and high-efficiency electromagnetic wave absorbing materials lies in achieving a decoupled improvement in impedance matching and loss performance while reducing thickness. Inspired by the structure of window blinds, this study proposes and designs a Discrete Slat Tunable Electromagnetic Wave Absorption Material (DSTEAM). By incorporating a magneto-electric coupling concept and an artificial intelligence-assisted data-driven optimization strategy, the successfully fabricated DSTEAM exhibits outstanding performance with a reflection loss below -10 dB over an ultra-broadband frequency range of 2.6-40 GHz, while maintaining a thin thickness of only 9.85 mm and an areal density of 0.566 kg/m
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