ArticleAdvanced materials (Deerfield Beach, Fla.)2021
In-Materio Reservoir Computing in a Sulfonated Polyaniline Network.
Article in Advanced materials (Deerfield Beach, Fla.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
- Volatile ZrOAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Printed Organic Memristive Device on Rigid and Flexible Supports for Neuromorphic Applications.Biomimetics (Basel, Switzerland) · 2026Article
- Utilizing Cooperative Proton-Electron Mixed Conduction Induced via Chemical Dedoping of Self-Doped Poly(3,4-ethylenedioxythiophene) Nanofilms for In-Material Physical Reservoirs.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Memristance and transmemristance in multiterminal memristive systems.Scientific reports · 2026Article
- Charge-Trap Memory with Engineered Temporal Dynamics for Physically Integrated Reservoir Computing.Small science · 2025Article
- Intrinsic Disordered Network in Multiferroic YMnOSmall (Weinheim an der Bergstrasse, Germany) · 2025Article
- Designing nonlinearity in a current-starved ring oscillator for reservoir computing hardware.Scientific reports · 2025Article
- Brain-Inspired Polymer Dendrite Networks for Morphology-Dependent Computing Hardware.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Article
- Self-organizing neuromorphic nanowire networks as stochastic dynamical systems.Nature communications · 2025Article
- Low-cost computation for isolated sign language video recognition with multiple reservoir computing.PloS one · 2025Article
- Bio-Plausible Multimodal Learning with Emerging Neuromorphic Devices.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Review
- Analog reservoir computing via ferroelectric mixed phase boundary transistors.Nature communications · 2024Article
- Few- and single-molecule reservoir computing experimentally demonstrated with surface-enhanced Raman scattering and ion gating.Science advances · 2024Article
- Brain-like hardware, do we need it?Frontiers in neuroscience · 2024Review
- Reservoir computing with the electrochemical formation and reduction of gold oxide in aqueous solutions with a three-electrode electrochemical setup.RSC advances · 2023Article
- Biological neurons act as generalization filters in reservoir computing.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- All-ferroelectric implementation of reservoir computing.Nature communications · 2023Article
- Hopf physical reservoir computer for reconfigurable sound recognition.Scientific reports · 2023Article
- Flexible Room-Temperature Ammonia Gas Sensors Based on PANI-MWCNTs/PDMS Film for Breathing Analysis and Food Safety.Nanomaterials (Basel, Switzerland) · 2023Article
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13 authors.
Funding
Abstract
A sulfonated polyaniline (SPAN) organic electrochemical network device (OEND) is fabricated using a simple drop-casting method on multiple Au electrodes for use in reservoir computing (RC). The SPAN network has humidity-dependent electrical properties. Under high humidity, the SPAN OEND exhibits mainly ionic conduction, including charging of an electric double layer and ionic diffusion. The nonlinearity and hysteresis of the current-voltage characteristics progressively increase with increasing humidity. The rich dynamic output behavior indicates wide variations for each electrode, which improves the RC performance because of the disordered network. For RC, waveform generation and short-term memory tasks are realized by a linear combination of outputs. The waveform task accuracy and memory capacity calculated from a short-term memory task reach 90% and 33.9, respectively. Improved spoken-digit classification is realized with 60% accuracy by only 12 outputs, demonstrating that the SPAN OEND can manage time series dynamic data operation in RC owing to a combination of rich dynamic and nonlinear electronic properties. The results suggest that SPAN-based electrochemical systems can be applied for material-based computing, by exploiting their intrinsic physicochemical behavior.
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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.