Mechanoelectrical metamaterials for broad-range, high-sensitivity pressure sensing
Механоэлектрические метаматериалы для широкого диапазона и высокочувствительного измерения давления
2026-06-11
SCID: 54.1/9cnm49qr
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gradient lattice designmechanoelectrical metamaterialsmodulus gradientmolecular ferroelectricsself-powered pressure sensors
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Abstract (AI)
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.
Key Findings
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.
Research Object
3D-printed mechanical metamaterials embedded with molecular ferroelectrics (dual-gradient lattice)
Research Subject
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
Publication Details
Publication Date
2026-06-11
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