Dynamic physical systems such as reservoir computing (RC) architectures have shown great prospect in temporal information processing, whereas hierarchical information processing capability is still lacking due to the absence of advanced multilayer reservoir elements. Here, a stackable reservoir system is constructed based on ferroelectric α-In2 Se3 devices with voltage input and output, which is realized by dynamic voltage division between a ferroelectric field effect transistor and a planar device and therefore allows the reservoirs to cascade, enabling multilayer reservoir computing. Fast Fourier transformation analysis shows high harmonic generation in the first layer as a result of inherent nonlinearity of the reservoir, and progressive low-pass filtering effect was realized where higher-frequency components are progressively filtered in deeper-layer RCs. Time series prediction and waveform classification tasks have also been demonstrated, serving as evidence for the memory capacity and computing capability of the deep reservoir architecture. This work could provide a promising pathway in exploiting emerging 2D materials and dynamics for advanced neuromorphic computing architectures. This article is protected by copyright. All rights reserved.
Multilayer Reservoir Computing Based on Ferroelectric α-In2 Se3 for Hierarchical Information Processing