SinoGreenTech Academic Portal
WP
Verified CAS / Academic Author2 Decoded Studies

Prof. WU Pengfan

Chongqing University

Research Publications & English Decoded Briefs

Showing 2 publications
SCIENCE CHINA Materials2026DOI: 10.1007/s40843-025-4334-9

Advances in Piezoelectric Materials with Diverse Crystal Structures: From Design to Applications

Piezoelectric materials underpin modern electromechanical energy conversion, serving as critical components in sensors, actuators, and energy harvesters. Their performance is intrinsically governed by the piezoelectric coefficient, yet optimizing this property remains challenging due to the profound influence of diverse microscopic structures. This review systematically examines three fundamental crystalline architectures—perovskite, wurtzite, and fluorite—and critically analyzes performance optimization strategies tailored to each structure. We explore five principal modification approaches: defect engineering, elemental doping, heterostructure film fabrication, composite film design, and buffer layer incorporation, with emphasis on the underlying physical mechanisms that drive property enhancements. By providing a cross-structural comparison, this review establishes clear structure–property relationships, offering a foundational guide for material selection and design. Furthermore, we highlight the implications of these advanced materials for next-generation applications in energy harvesting and smart devices. Finally, we present a forward-looking roadmap, outlining emerging research directions and addressing key technical challenges to guide the development of next-generation high-performance piezoelectric materials.

SCIENCE CHINA Materials2025DOI: 10.1007/s40843-024-3307-4

Bio-inspired triboelectric nanogenerator as a self-powered gait recognition sensor for legged robots

Reducing dependency on external energy sources for gait recognition systems in legged robots is critical for extending operational endurance in field transport and emergency rescue. This study presents a performance-enhanced triboelectric sensor with a tilted magnetic microneedle surface (TMMS-TENG), inspired by the tilted microstructures on mantis forelimbs. By integrating magnetorheological materials with micro-engineering, the tilting and bending of microneedles are controlled via magnetic field direction and intensity, significantly modulating the sensing signal. The TMMS-TENG achieves a peak output power of 5.82 mW at a load resistance of 3 MΩ, with high sensitivity (7.57 kPa⁻¹ in the 0–1 kPa range, 3.55 times higher than planar structures), fast response (loading: 61.3 ms; recovery: 50.8 ms), and high stability. When the microneedle tilt angle is 25°, sensitivity remains at 1.19 kPa⁻¹ in the 1–11 kPa range. The sensor demonstrates outstanding recognition capability and stability in legged robot gait recognition, offering potential for robotics, intelligent manufacturing, and health monitoring. This approach reduces reliance on external power, enhancing flexibility and energy efficiency in field operations.