Systematic Parameter‐Space Mapping Strategy for a Deep‐Subwavelength‐Thick Low‐Frequency Electromagnetic Metasurface Absorber

ABSTRACT Overcoming the intrinsic thickness–frequency trade‐off while simultaneously ensuring ultra‐thinness, wide‐angle absorption, and mechanical conformability remains a fundamental challenge in designing electromagnetic (EM) absorbers for next‐generation integrated systems. Here, we propose a systematic parameter‐space mapping strategy that transcends conventional empirical optimization by establishing an explicit, continuous correlation between multi‐dimensional geometric parameters and absorption performance via large‐scale parametric sampling and multivariate regression. This approach enables the design of a deep‐subwavelength metasurface absorber with a record relative thickness of only 1/1573 (≈0.908 mm), achieving near‐perfect absorption of 98.7% at 0.21 GHz. The absorber further exhibits robust polarization insensitivity, outstanding angular stability up to 60° incidence, and excellent mechanical flexibility—retaining over 95% absorption efficiency under bending radii below 20 cm. Through synergistic integration of LC–RCL hybrid resonance, sine‐gap hexagonal topology, and a tunable air–dielectric–metal stack, the proposed architecture not only addresses the long‐standing thickness–frequency dilemma but also establishes a generalizable and efficient optimization paradigm for ultrathin, conformal, and wideband EM absorbers. This work paves the way for advanced applications in stealth technology, wearable electronics, and compact wireless communication systems.

Authors

Institutions

Publication Details

Journal
Advanced Optical Materials
Published
2026-09-12
DOI
https://doi.org/10.1002/adom.71799
Primary Topic
Metamaterials and Metasurfaces Applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Systematic Parameter‐Space Mapping Strategy for a Deep‐Subwavelength‐Thick Low‐Frequency Electromagnetic Metasurface Absorber

Leyang Wang, Haipeng Li, Zhenguo Gao, Xiaopeng Shen
Advanced Optical Materials
Metamaterials and Metasurfaces Applications
article

Systematic Parameter‐Space Mapping Strategy for a Deep‐Subwavelength‐Thick Low‐Frequency Electromagnetic Metasurface Absorber

Leyang Wang, Haipeng Li, Zhenguo Gao, Xiaopeng Shen
article en

Abstract

ABSTRACT Overcoming the intrinsic thickness–frequency trade‐off while simultaneously ensuring ultra‐thinness, wide‐angle absorption, and mechanical conformability remains a fundamental challenge in designing electromagnetic (EM) absorbers for next‐generation integrated systems. Here, we propose a systematic parameter‐space mapping strategy that transcends conventional empirical optimization by establishing an explicit, continuous correlation between multi‐dimensional geometric parameters and absorption performance via large‐scale parametric sampling and multivariate regression. This approach enables the design of a deep‐subwavelength metasurface absorber with a record relative thickness of only 1/1573 (≈0.908 mm), achieving near‐perfect absorption of 98.7% at 0.21 GHz. The absorber further exhibits robust polarization insensitivity, outstanding angular stability up to 60° incidence, and excellent mechanical flexibility—retaining over 95% absorption efficiency under bending radii below 20 cm. Through synergistic integration of LC–RCL hybrid resonance, sine‐gap hexagonal topology, and a tunable air–dielectric–metal stack, the proposed architecture not only addresses the long‐standing thickness–frequency dilemma but also establishes a generalizable and efficient optimization paradigm for ultrathin, conformal, and wideband EM absorbers. This work paves the way for advanced applications in stealth technology, wearable electronics, and compact wireless communication systems.

Advanced Optical Materials
Hong Kong Polytechnic University (HK), China University of Mining and Technology (CN)
Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 28%
Metamaterials and Metasurfaces Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.