ArticleProceedings of the National Academy of Sciences of the United States of America2024
Aqueous chemimemristor based on proton-permeable graphene membranes.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Optoelectronic Nanofluidic Neural Networks for Ionic Computing.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- An ion-electronic hybrid artificial neuron with a widely tunable frequency.Nature communications · 2025Article
- Interfaces govern the structure of angstrom-scale confined water solutions.Nature communications · 2025Article
- Plasmonic in-situ imaging of zeta potential distributions at electrochemical interfaces of 2D materials in water.Nature communications · 2025Article
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6 authors.
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Abstract
Memristive devices, electrical elements whose resistance depends on the history of applied electrical signals, are leading candidates for future data storage and neuromorphic computing. Memristive devices typically rely on solid-state technology, while aqueous memristive devices are crucial for biology-related applications such as next-generation brain-machine interfaces. Here, we report a simple graphene-based aqueous memristive device with long-term and tunable memory regulated by reversible voltage-induced interfacial acid-base equilibria enabled by selective proton permeation through the graphene. Surface-specific vibrational spectroscopy verifies that the memory of the graphene resistivity arises from the hysteretic proton permeation through the graphene, apparent from the reorganization of interfacial water at the graphene/water interface. The proton permeation alters the surface charge density on the CaF
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