Spatio-Temporal Confinement in Two-Dimensional Channels for Neuromorphic Computing
Graphene oxide (GO), with its unique two-dimensional structure, adjustable functional groups, and tunable nanofluidic channels, has emerged as a promising platform for bio-inspired neuromorphic computing. This perspective explores the structural and functional analogies between GO membranes and biological ion channels, emphasizing GO’s ability to support selective ion transport, stimuli-responsive behavior, and synaptic plasticity. Recent advances in material engineering and device integration have enabled GO-based artificial synapses, including memristors and ion-gated transistors, to emulate key neuronal features such as excitatory postsynaptic currents, paired-pulse facilitation, and spike-timing-dependent plasticity with sub-millisecond response times and picojoule-level energy consumption. Moreover, the incorporation of GO with polymers, quantum dots, and semiconductors has facilitated multimodal control via electric, optical, and chemical inputs. Together, these developments position GO as a powerful material system for future neuromorphic devices that operate in aqueous and dynamic biological environments, paving the way toward brain-inspired hardware, neuroprosthetics, and intelligent biointerfaces.
Authors
- Honglin Wang (ORCID: https://orcid.org/0000-0002-4558-0489)
- Hongwei Zhu
Institutions
- Tsinghua University (CN)
Publication Details
- Journal
- Low-Dimensional Materials
- Published
- 2026-01-13
- DOI
- https://doi.org/10.53941/ldm.2026.100002
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China