Multilayer Reservoir Computing Based on Ferroelectric α‐In2Se3 for Hierarchical Information Processing. Issue 48 (17th February 2022)

• Record Type: Journal Article
• Authors: Liu, Keqin; Dang, Bingjie; Zhang, Teng; Yang, Zhen; Bao, Lin; Xu, Liying; Cheng, Caidie; Huang, Ru; Yang, Yuchao
• Is Part Of: Advanced materials. Volume 34:Issue 48(2022)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2022-02-17
• Subjects: ferroelectric α‐In 2Se 3 -- hierarchical architectures -- memristors -- reservoir computing; Materials -- Periodicals; Chemical vapor deposition -- Periodicals; 620.11
• DOI: 10.1002/adma.202108826
• Languages: English
• ISSNs: 0935-9648

Abstract

Abstract: Dynamic physical systems such as reservoir computing (RC) architectures show a 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 RC. 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 is realized where higher‐frequency components are progressively filtered in deeper‐layer RCs. Time‐series prediction and waveform classification tasks are also demonstrated, serving as evidence for the memory capacity and computing capability of the deep reservoir architecture. This work can provide a promising pathway in exploiting emerging 2D materials and dynamics for advanced neuromorphic computing architectures. Abstract : A stackable reservoir is constructed based on ferroelectric α‐In2 Se3 with voltage input and output, enabling interdevice cascading and multilayer reservoir computing. Fast Fourier transformation analysis shows high‐harmonic generation and progressive low‐pass filtering effect. Time‐series prediction and waveform classification tasks are also demonstrated in the deep reservoir architecture, providing a promising pathway for neuromorphic computing.