ArticleNature communications2024
3D-integrated multilayered physical reservoir array for learning and forecasting time-series information.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Monolithic 3D-Integrated All-Solid Ion-Gated Carbon Nanotube Transistors With Tunable Ionic Conductance for Multi-Timescale Reservoir Computing.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- Emerging Multimodal Artificial Sensory Fusion Paradigms Toward Advanced Embodied Intelligence.Advanced materials (Deerfield Beach, Fla.) · 2026Review
- Coexisting Volatile and Nonvolatile Switching in 3D ALD-IGZO Vertical RRAM for Fully Hardware-Based Wide Reservoir Computing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Programmable memtransistor array with temporal dynamics modulation for efficient time-series data processing.Nature communications · 2026Article
- Volatile self-selective memristive neuron for millisecond-latency neuromorphic object detection at the edge.Nature communications · 2026Article
- Self-Rectifying Memristors for Beyond-CMOS Computing: Mechanisms, Materials, and Integration Prospects.Nano-micro letters · 2026Review
- Spatiotemporal Reservoir Computing with a Reconfigurable Multifunctional Memristor Array.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- Ferroelectric nanodot reservoir for neuromorphic computing.Beilstein journal of nanotechnology · 2026Article
- Robotized Fabrication Strategy for Large-Scale 3D Conformal Electronics.Materials (Basel, Switzerland) · 2025Article
- Wafer-scale fabrication of memristive passive crossbar circuits for brain-scale neuromorphic computing.Nature communications · 2025Article
- Resistive Switching Behavior of Sol-Gel-Processed ZnMgO/ZnO Bilayer in Optoelectronic Devices.Nanomaterials (Basel, Switzerland) · 2025Article
- Analog reservoir computing via ferroelectric mixed phase boundary transistors.Nature communications · 2024Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A wide reservoir computing system is an advanced architecture composed of multiple reservoir layers in parallel, which enables more complex and diverse internal dynamics for multiple time-series information processing. However, its hardware implementation has not yet been realized due to the lack of a high-performance physical reservoir and the complexity of fabricating multiple stacks. Here, we achieve a proof-of-principle demonstration of such hardware made of a multilayered three-dimensional stacked 3 × 10 × 10 tungsten oxide memristive crossbar array, with which we further realize a wide physical reservoir computing for efficient learning and forecasting of multiple time-series data. Because a three-layer structure allows the seamless and effective extraction of intricate three-dimensional local features produced by various temporal inputs, it can readily outperform two-dimensional based approaches extensively studied previously. Our demonstration paves the way for wide physical reservoir computing systems capable of efficiently processing multiple dynamic time-series information.
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Registered trials
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