ABSTRACT Physical reservoir computing (RC) uses nonlinear device dynamics for energy‐efficient temporal processing. Most MEMS RC was implemented with multi‐component reservoirs or time‐delayed feedback. In this study, we harness the intrinsic Duffing nonlinearity of a piezoelectric ceramic disc resonator to implement physical reservoir computing. The resonator's underdamped transients provide fading memory and self‐masking, while Duffing nonlinearity maps the input data into a high‐dimensional state space. The mechanism is quantified by establishing a nonlinear equivalent‐circuit model, and the computational capability is validated via end‐to‐end simulations. The feasibility of a PZT disc resonator as a physical reservoir is experimentally verified. Driven near resonance, the device achieves 98.5% accuracy on a 3‐bit parity‐check task at 5000 b/s. The simple sensing‐and‐computing architecture provides high‐throughput temporal processing and has potential for edge computing.
Wang et al. (Thu,) studied this question.