Deep-learning approach for developing bilayered electromagnetic interference shielding composite aerogels based on multimodal data fusion neural networks DOI

Chenglei He,

Liya Yu, Yun Jiang

et al.

Journal of Colloid and Interface Science, Journal Year: 2025, Volume and Issue: 688, P. 79 - 92

Published: Feb. 20, 2025

Language: Английский

Asymmetric Structural Design for Absorption‐Dominated Electromagnetic Interference Shielding Composites DOI Open Access

Meng Zhou,

Zheyin Yu,

Qiming Yan

et al.

Advanced Functional Materials, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 28, 2025

Abstract Excessive electromagnetic pollution caused by waves can interfere with the normal use of electronic devices or cause unnecessary damage to human health. Although conductive polymer composites (CPCs) are used replace traditional metals as an effective strategy for managing undesirable waves, CPCs have a non‐negligible trade‐off in enhancement interference (EMI) shielding effectiveness and absorption coefficient because their reflection‐dominated EMI mechanism. Therefore, alleviate secondary pollution, absorption‐dominated asymmetric structures urgently needed. Recently, structural designs advanced significantly, but seldom been summarized discussed detail. Consequently, this review first systematically summarizes current progress after brief clarification about necessity configuration structure design. Afterward, various fiber, layered, porous, composite described. Besides, versatility is briefly introduced. Finally, challenges prospects proposed guide future advancement field.

Language: Английский

Citations

2

Integration of MXene and polymer: Unlocking the full potential of multifunctional composites for electromagnetic interference shielding DOI

Meng Zhou,

Shuo Zhang, Li Zhang

et al.

Journal of Material Science and Technology, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 1, 2024

Language: Английский

Citations

15

Microwave Absorption Properties and Electromagnetic Characteristics of MoS2/MXene Sandwich Composites DOI
Qiang Wang, Xiaolei Su, Jia Yan

et al.

Ceramics International, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 1, 2024

Language: Английский

Citations

10

Deep-learning approach for developing bilayered electromagnetic interference shielding composite aerogels based on multimodal data fusion neural networks DOI

Chenglei He,

Liya Yu, Yun Jiang

et al.

Journal of Colloid and Interface Science, Journal Year: 2025, Volume and Issue: 688, P. 79 - 92

Published: Feb. 20, 2025

Language: Английский

Citations

0