ABSTRACT Flexible piezoresistive pressure sensors have become a keystone in emerging flexible and wearable electronic systems due to their mechanical compliance, high sensitivity, and scalable device architecture. These characteristics enabled rapid technological advances in continuous health monitoring, human–machine interfaces, soft robots, and electronic skin. Despite the considerable achievements, attaining simultaneously high sensitivity, stability, and reliability under realistic operating conditions remains challenging, requiring a unified materials‐ and structure‐driven design paradigm. To address these challenges, this review establishes a systematic, mechanism‐to‐application roadmap for high‐performance piezoresistive sensors. We discuss key performance metrics and fundamental sensing mechanisms, including contact resistance modulation, quantum tunneling, and percolation effects, which collectively govern the piezoresistive response. Linking these underlying physical mechanisms to macroscopic performance, we elaborate two central strategies to enhance performance: (i) materials engineering, including hybrid conductive composites, interfacial functionalization, porosity modulation, and graded multilayer designs; (ii) structural engineering like leveraging surface microstructuring, hierarchical layering, and three‐dimensional conductive networks. The synergistic coupling of these strategies is illustrated through representative devices enabling health diagnostics, tactile feedback, and intelligent robotic systems. Finally, we discuss challenges and propose future research directions, including multi‐modal sensing integration and on‐chip intelligence, which are expected to drive the next generation of flexible electronics.
Building similarity graph...
Analyzing shared references across papers
Loading...
Feng Luo
Artur Ciesielski
Paolo Samorı́
Advanced Functional Materials
Centre National de la Recherche Scientifique
Institut de Science et d'Ingénierie Supramoléculaires
Building similarity graph...
Analyzing shared references across papers
Loading...
Luo et al. (Sun,) studied this question.
www.synapsesocial.com/papers/69e865b56e0dea528ddea202 — DOI: https://doi.org/10.1002/adfm.75473