writer：Weili Deng, Zihan Wang, Hongguang Li, Peiwen Li, Jinlong Sun, Zhiyuan Gao, Shenglong Wang, Long Jin, Weiqing Yang
keywords：Piezotronic sensor，Patterned ZnO nanorods，Tactile recognition，Bimodal detection，Piezoelectric screening effect
source：期刊
Issue time：2026年

Tactile sensing is pivotal for precise environmental interaction in robotics, smart manufacturing, and intelligent healthcare. However, conventional force sensors frequently struggle to reconcile sensitivity and linearity with biomimetic multifunctionality, particularly the dual-mode (static/dynamic) sensing capability of human skin. To bridge this gap, we propose a bimodal piezotronic tactile sensor utilizing patterned ZnO nanorod arrays. Both the simulation and experimental results confirm that the patterned architecture effectively suppresses the piezo electric screening effect, yielding a twofold enhancement in piezoelectric output compared to continuous film counterparts. Crucially, the developed device overcomes the inherent limitations of conventional piezoelectric sensors regarding static stimuli, achieving stable static force sensing for over 1000 s while maintaining a decent dynamic responsiveness. As a proof-of-concept, the sensor is integrated with a deep learning algorithm to decode Morse code, demonstrating a recognition accuracy of 99%. This work enriches the theoretical framework for designing high-performance bimodal piezotronic devices, offering new strategies for advanced wearable elec tronics and seamless human–machine interactions