Mechanoelectrical metamaterials for broad-range, high-sensitivity pressure sensing

Механоэлектрические метаматериалы для широкого диапазона и высокочувствительного измерения давления
Yao Zhang, Xin Chen, Qing Wang, Lijie Dong, Sulin Zhang, Feifan Yang, Kanghua Li, Shenglin Jiang, Guangzu Zhang, Jianmin Wu, Haoming Yang, Shiyi Xu, Lin Zhu, Xuetian Gong, Lulu Liu, Fangyuan Luo, Shuhan Xu, Chunlei Liu
2026-06-11

gradient lattice designmechanoelectrical metamaterialsmodulus gradientmolecular ferroelectricsself-powered pressure sensors
Mechanical metamaterials exploit precise control of unit-cell geometry and their macroscopic organization to realize unusual properties. Expanding the capabilities of mechanical metamaterials to incorporate additional functionality remains a challenge. We describe 3D-printed metamaterials embedded with molecular ferroelectrics for use as self-powered pressure sensors. Our gradient lattice design allows for adaptive reconfiguration and controlled deformation-mode transitions, yielding a synergy of low modulus and high load-bearing capacity alongside a monotonic mechanical load-electrical signal response. Furthermore, we implement a modulus gradient in the metamaterials to enhance sensitivity in low-loading regions and extend the detection range across six orders of magnitude. With a combination of high sensitivity and broad detection range, the dual-gradient metamaterials overcome the limitations imposed by the inverse relationships in existing sensors.
1
3D-printed mechanical metamaterials embedded with molecular ferroelectrics function as self-powered pressure sensors.
2
A gradient lattice design enables adaptive reconfiguration and controlled deformation-mode transitions, producing a monotonic mechanical load–electrical signal response.
3
Implementing a modulus gradient enhances sensitivity in low-loading regions and extends detection range across six orders of magnitude.
4
The dual-gradient metamaterials achieve both low modulus and high load-bearing capacity, overcoming inverse trade-offs in existing sensors between sensitivity and range.

3D-printed mechanical metamaterials embedded with molecular ferroelectrics (dual-gradient lattice)

Their mechanoelectrical pressure-sensing performance: adaptive reconfiguration and deformation-mode transitions producing low modulus with high load-bearing capacity, monotonic mechanical-load-to-electrical-signal response, and enhanced sensitivity plus six-decade detection range via modulus gradients

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Publication Date
2026-06-11
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Authors
Yao Zhang
Xin Chen
Qing Wang
Lijie Dong
Sulin Zhang
Feifan Yang
Kanghua Li
Shenglin Jiang
Guangzu Zhang
Jianmin Wu
Haoming Yang
Shiyi Xu
Lin Zhu
Xuetian Gong
Lulu Liu
Fangyuan Luo
Shuhan Xu
Chunlei Liu
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