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September 17, 2026      News      9578

Just published in Science: Chinese researchers at Huazhong University of Science and Technology (HUST) embedded molecular ferroelectric materials into DLP 3D-printed lattices to create a dual-gradient mechanoelectrical metamaterial, breaking the long-standing trade-off between sensitivity and range in pressure sensors.

They designed three lattice types: the slanted-strut lattice (SL) has low stiffness and picks up tiny forces; the vertical-plate lattice (PL) is stiff and carries heavy loads; the hybrid strut-plate lattice (HL) can switch its deformation mode with load. They then stacked SL, HL, and PL into a graded lattice structure (GLS) and made the modulus transition from 300 kPa at the top to 2.3 GPa at the bottom, forming a dual-gradient lattice (DGL). The printed polymer’s modulus can be tuned across nearly four orders of magnitude.
The performance is striking: GLS shows a sensitivity of about 263 mV/kPa below 0.4 kPa, detects as low as 3.5 Pa, and withstands up to 770 kPa. DGL detects down to 1.3 Pa, has a low-pressure sensitivity of about 320 mV/kPa, withstands up to 3.45 MPa, and covers six orders of magnitude in detection range; it remains stable after 10,000 cycles at 50% strain.
The applications are also down-to-earth: a robotic finger can track a ladybug of about 20 mg, sense the rupture of a 2.5 mg soap bubble, and catch a 5 kg steel ball dropped from 20 cm; it can also infer modulus from voltage, from 90 Pa willow catkin to 125 kPa lean pork to 1.32 GPa cork, and monitor changes in avocados, eggs, and cheese. Mounted on a wheel, it can simultaneously sense terrain height and stiffness in a sandbox.
The core idea is to use 3D printing to co-design geometric gradients and material modulus gradients, so load-bearing and sensing no longer hold each other back. In the future, it may extend to multifunctional metamaterials that respond to light, heat, magnetism, and other fields.






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