ArticleNature communications2025
Programmable memristors with two-dimensional nanofluidic channels.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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Who cites it
9 citing papers in PubMed.
- Controlling Ion Dynamics at Nanoscale for Memristor-Based Neuromorphic Computing.Small (Weinheim an der Bergstrasse, Germany) · 2026Article
- Instability-driven electrohydrodynamic neurons for probabilistic computing.Nature communications · 2026Article
- Hysteresis Inversion Driven by Polar-Order Competition in van der Waals Ferrielectric.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- Article
- Bioinspired Nanofluidic Memristors Based on Polyelectrolyte Conformation for Synaptic Learning and in-Memory Logic Computing.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- 2D Copper MOF Membranes with Precise Pores for Ionic Memory.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Article
- Multisensory Neuromorphic Devices: From Physics to Integration.Nano-micro letters · 2026Review
- Gated MoSJournal of nanobiotechnology · 2026Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
Nanofluidic memristors, obtained by confining aqueous salt electrolyte within nanoscale channels, offer low energy consumption and the ability to mimic biological learning. Theoretically, four different types of memristors are possible, differentiated by their hysteresis loop direction. Here, we show that by varying electrolyte composition, pH, applied voltage frequency, channel material and height, all four memristor types can emerge in nanofluidic systems. We observed two hitherto unidentified memristor types in 2D nanochannels and investigated their molecular origins. A minimal mathematical model incorporating ion-ion interactions, surface charge, and channel entrance depletion successfully reproduces the observed memristive behaviors. We further investigate the impact of temperature on ionic mobility and memristors characteristics. In this work, we show that the channels display both volatile and non-volatile memory, including short-term depression akin to synapses, with signal recovery over time. These results suggest that nanofluidic devices may enable new neuromorphic architectures for pattern recognition and adaptive information processing.
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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.