ArticleNature communications2024
Analog reservoir computing via ferroelectric mixed phase boundary transistors.
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 25 papers.
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Who cites it
25 citing papers in PubMed.
- Ultralow-Energy Analog Reservoir Computing via Reconfigurable 2-Transistor Memory.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Ferroelectric Transistors: from Materials Innovation to Intelligent Electronic Systems.Advanced materials (Deerfield Beach, Fla.) · 2026Review
- Artificial neural manifolds.Nature communications · 2026Article
- 940 Nm Near-Infrared Photosynapses Based on Sn─Pb Perovskite for Efficient Face Recognition.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- Perception, Synaptic Plasticity, and Spiking Neuron Function Enabled by a 2D Ferroelectric NbOBrAdvanced materials (Deerfield Beach, Fla.) · 2026Article
- All-Optically Controlled Memristive Reservoir Computing Capable of Bipolar and Parallel Coding.Nature communications · 2026Article
- Volatile ZrOAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Reconfigurable ferroelectric transistor array for embodied neuromorphic vision with hardware-native sensing, computing, and activation.Science advances · 2026Article
- Tunable synaptic memory response using organic regioisomeric donor-acceptor-donor luminophore triads.Chemical science · 2026Article
- Programmable memtransistor array with temporal dynamics modulation for efficient time-series data processing.Nature communications · 2026Article
- Triple-Mode Ferroelectric Thin-Film Transistor for Hybrid Electrical-Optical Reservoir Computing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Memristive Physical Reservoir Computing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Thermally activated excess noise by subgap density-of-states in Si-doped ZnSnO thin-film transistor-type gas sensor.Microsystems & nanoengineering · 2026Article
- Hafnium-Based Ferroelectric Post-Moore Electronics: Device Physics, Integration Architectures, and Neuromorphic System Implementation.Nano-micro letters · 2026Review
- Recent progress in HfONanoscale advances · 2026Review
- Oxide Semiconductor Thin-Film Transistors for Low-Power Electronics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Coplanar Floating-Gate Antiferroelectric Transistor with Multifunctionality for All-in-One Analog Reservoir Computing.Nano-micro letters · 2026Article
- Spatiotemporal Reservoir Computing with a Reconfigurable Multifunctional Memristor Array.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- Multimodal flexible sensor system toward telediagnosis.Proceedings of the Japan Academy. Series B, Physical and biological sciences · 2026Review
- Reconfigurable Neuron and Synapse Operations in a Steep-Switching Nonvolatile Transistor.Small (Weinheim an der Bergstrasse, Germany) · 2025Article
Corrections and comments
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Authors and funding
13 authors.
Funding
Abstract
Analog reservoir computing (ARC) systems have attracted attention owing to their efficiency in processing temporal information. However, the distinct functionalities of the system components pose challenges for hardware implementation. Herein, we report a fully integrated ARC system that leverages material versatility of the ferroelectric-to-mixed phase boundary (MPB) hafnium zirconium oxides integrated onto indium-gallium-zinc oxide thin-film transistors (TFTs). MPB-based TFTs (MPBTFTs) with nonlinear short-term memory characteristics are utilized for physical reservoirs and artificial neuron, while nonvolatile ferroelectric TFTs mimic synaptic behavior for readout networks. Furthermore, double-gate configuration of MPBTFTs enhances reservoir state differentiation and state expansion for physical reservoir and processes both excitatory and inhibitory pulses for neuronal functionality with minimal hardware burden. The seamless integration of ARC components on a single wafer executes complex real-world time-series predictions with a low normalized root mean squared error of 0.28. The material-device co-optimization proposed in this study paves the way for the development of area- and energy-efficient ARC systems.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.