Bias‐Free Tactile Synaptic Ionogel With Viscoelastic Memory for Biomechanical Monitoring

ABSTRACT

Endowing artificial skins with adaptation and sensory memory is essential for intelligent tactile perception. However, conventional transistor‐based neuromorphic systems rely on energy‐intensive, decoupled architectures that fundamentally constrain their structural flexibility and energy efficiency. In this study, we report a monolithic, bias‐free piezoionic tactile synapse that exhibits adaptive plasticity driven solely by mechanical stimuli. Learning and memory arise from stress‐induced piezoelectric polarization at the dynamic interface, which drives rapid ion separation, coupled with supramolecular confinement within the viscoelastic polymer network that retards cation backflow. This kinematic asymmetry induces pronounced ion transport hysteresis, directly translating mechanical inputs into cumulative postsynaptic potentials. Furthermore, the supramolecular network inherently affords autonomous self‐healing and conformal adhesion. Leveraging these features, we demonstrate a self‐powered electronic skin for the in situ quantification of neuromuscular coordination and biomechanical endurance. By unifying mechanotransduction and memory at the material level, this work establishes a novel paradigm for energy‐efficient biological‐machine interfaces.