ArticleACS nano2024
Geometrically Scalable Iontronic Memristors: Employing Bipolar Polyelectrolyte Gels for Neuromorphic Systems.
Article in ACS nano, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Instability-driven electrohydrodynamic neurons for probabilistic computing.Nature communications · 2026Article
- Soft Iontronic Diodes: Materials, Mechanisms, and Progress.Gels (Basel, Switzerland) · 2026Review
- Self-heating-induced blocking in nanopores enables neuromorphic ionic computing.Nature communications · 2026Article
- Bioinspired Nanofluidic Memristors Based on Polyelectrolyte Conformation for Synaptic Learning and in-Memory Logic Computing.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- Coupled dual-channel memristors for hardware-native trustworthy Bayesian intelligence.Nature communications · 2026Article
- Article
- Confined-hydrogel fluidic memristor crossbar array for neuromorphic computing.Nature communications · 2026Article
- Polyacid Solutions as an Analogue of a Neural Network.Polymers · 2026Article
- Toward an ion-based large-scale integrated circuit: design, simulation, and integration.Communications engineering · 2025Article
- Gel-Based Ionic Circuits.Chemical reviews · 2025Review
- Advanced Applications of Polymer Hydrogels in Electronics and Signal Processing.Gels (Basel, Switzerland) · 2024Review
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Iontronics that are capable of mimicking the functionality of biological systems within an artificial fluidic network have long been pursued for biomedical applications and ion-based intelligence systems. Here, we report on facile and robust realization of iontronic bipolar memristors featuring a three-layer polyelectrolyte gel structure. Significant memristive hysteresis of ion currents was successfully accomplished, and the memory time proved geometrically scalable from 200 to 4000 s. These characteristics were enabled by the ion concentration polarization-induced rectification ratio within the polyelectrolyte gels. The memristors exhibited memory dynamics akin to those observed in unipolar devices, while the bipolar structure notably enabled prolonged memory time and enhanced the ion conductance switching ratio with mesoscale (10-1000 μm) geometry precision. These properties endow the devices with the capability of effective neuromorphic processing with pulse-based input voltage signals. Owing to their simple fabrication process and superior memristive performance, the presented iontronic bipolar memristors are versatile and can be easily integrated into small-scale iontronic circuits, thereby facilitating advanced neuromorphic computing functionalities.
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Registered trials
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