Dynamic Monolayer WSe₂ Electrolyte‐Gated Transistor with Coexistent Double Relaxation Timescale for Enhanced Physical Reservoir Computing

Abstract Physical reservoir computing (PRC) is considered as an efficient method for solving complex time series tasks due to its outstanding advantages such as easy training and hardware implementation. However, a memristor‐based reservoir with only a single timescale carrier/ion dynamics limits the performance of multiple timescale feature extraction. Here a fully volatile, electrolyte‐gated monolayer (ML) WSe₂ transistor with a coexistent double relaxation timescale (DRT) is reported, which enriches the reservoir dynamics and has excellent time series prediction capability in PRC. The coexistence of DRT is achieved by the ion‐electron coupling effect between the electrolyte dielectric and the WSe₂ channel. Compared with single relaxation timescale (SRT), the DRT in WSe₂ transistor leads to enhanced information processing capability in chaotic time series prediction, multi‐scale time series prediction, and traffic trajectory prediction applications. This work paves the way for the development of complex timescale‐based dynamic devices for high‐performance reservoir computing networks.