Parity Metamaterials and Dynamic Acoustic Mimicry

While parity transformation represents a fundamental symmetry operation in physics, its implications remain underexplored in metamaterial science. Here, we introduce a framework leveraging parity transformation to construct parity-inverted counterparts of arbitrary 3-dimensional meta-atoms, enabling the creation of parity-engineered metamaterial slabs. We demonstrate that the synergy between reciprocity and parity transformation, distinct from mirror operation, guarantees undistorted wave transmission across exceptional bandwidths, independent of structural configuration or meta-atom design specifics. Furthermore, these metamaterials exhibit dynamic acoustic mimicry capability, enabling adaptive blending of reflected signatures into surrounding environments while preserving transmitted wavefront integrity. Validated through numerical simulations and experimental prototypes, this breakthrough offers transformative potential for acoustic camouflage applications, particularly for sonar systems. Our findings reveal fundamental implications of parity transformation in artificial materials, establishing parity engineering as a paradigm for designing ultrabroadband functional materials with unprecedented operational versatility.

Authors

Institutions

Publication Details

Journal
Research
Published
2025-07-16
DOI
https://doi.org/10.34133/research.0826
Citations
1
Primary Topic
Acoustic Wave Phenomena Research
Type
article
Field-Weighted Citation Impact
0.67
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Parity Metamaterials and Dynamic Acoustic Mimicry

Yun Lai, Chenkai Liu, Xiaozhou Liu, Johan Christensen et al.
1 citations
Research
Acoustic Wave Phenomena Research
0.67
article

Parity Metamaterials and Dynamic Acoustic Mimicry

Yun Lai, Chenkai Liu, Xiaozhou Liu, Johan Christensen, Jinjie Shi, Hongchen Chu, Aurélien Merkel
article en
1 citations

Abstract

While parity transformation represents a fundamental symmetry operation in physics, its implications remain underexplored in metamaterial science. Here, we introduce a framework leveraging parity transformation to construct parity-inverted counterparts of arbitrary 3-dimensional meta-atoms, enabling the creation of parity-engineered metamaterial slabs. We demonstrate that the synergy between reciprocity and parity transformation, distinct from mirror operation, guarantees undistorted wave transmission across exceptional bandwidths, independent of structural configuration or meta-atom design specifics. Furthermore, these metamaterials exhibit dynamic acoustic mimicry capability, enabling adaptive blending of reflected signatures into surrounding environments while preserving transmitted wavefront integrity. Validated through numerical simulations and experimental prototypes, this breakthrough offers transformative potential for acoustic camouflage applications, particularly for sonar systems. Our findings reveal fundamental implications of parity transformation in artificial materials, establishing parity engineering as a paradigm for designing ultrabroadband functional materials with unprecedented operational versatility.

ResearchVol. 8
Centre National de la Recherche Scientifique (FR), Nanjing Normal University (CN), IMDEA Materials (ES), Collaborative Innovation Center of Advanced Microstructures (CN), Institut Jean Lamour (FR), Nanjing University (CN), Université de Lorraine (FR)
Openalex Percentile: Top 29%
Acoustic Wave Phenomena Research
0.67
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.

Parity Metamaterials and Dynamic Acoustic Mimicry — Yun Lai, Chenkai Liu, et al. · Research (2025) | TGRS Research Map | TGRS