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With the increasing limitations of conventional computing techniques, particularly the von Neumann bottleneck, the brain's seamless integration of memory and processing through synapses offers a valuable model for technological innovation. Inspired by biological synapse facilitating adaptive, low-power computation by modulating signal transmission via ionic conduction, iontronic synaptic devices have emerged as one of the most promising candidates for neuromorphic computing. Meanwhile, the atomic-scale thickness and tunable electronic properties of van der Waals two-dimensional (2D) materials enable the possibility of designing highly integrated, energy-efficient devices that closely replicate synaptic plasticity. This review comprehensively analyzes advancements in iontronic synaptic devices based on 2D materials, focusing on electron-ion interactions in both iontronic transistors and memristors. The challenges of material stability, scalability, and device integration are evaluated, along with potential solutions and future research directions. By highlighting these developments, this review offers insights into the potential of 2D materials in advancing neuromorphic systems.
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http://dx.doi.org/10.1021/acsnano.5c02397 | DOI Listing |
ACS Appl Mater Interfaces
September 2025
Jiangsu Key Laboratory for Design and Manufacture of Precision Medicine Equipment, School of Mechanical Engineering, Southeast University, Nanjing 211189, China.
Nanofluidic memristors have become a hotspot in neuromorphic computing research due to their potential in modeling biological synaptic functions. However, many existing nanofluidic memristors rely on electrochemical or electric field-driven mechanisms, failing to directly mimic the properties of mechanically gated ion channels (e.g.
View Article and Find Full Text PDFACS Appl Mater Interfaces
June 2025
Department of Biomedical Engineering, Guangdong Provincial Key Laboratory of Advanced Biomaterials, Institute of Innovative Materials, Southern University of Science and Technology (SUSTech), Shenzhen 518055, PR China.
The signal transmission utilizing ions as carriers provides the brain with efficient and outstanding computational capability. The controllable ion transport in neurons relies on a multiplicity of ion channels, which have ångström (Å) dimensions. The interactions between ions and channel walls contribute to their nonlinear ion transport behavior, which can be manifested as natural memory resistors, i.
View Article and Find Full Text PDFSensors (Basel)
April 2025
Beijing Key Laboratory of Micro-Nano Energy and Sensor, Center for High-Entropy Energy and Systems, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 101400, China.
We report an ion-gel-gated amorphous indium gallium zinc oxide (a-IGZO) optoelectronic neuromorphic transistors capable of synaptic emulation in both photoelectric dual modes. The ion-gel dielectric in the coplanar-structured transistor, fabricated via ink-jet printing, exhibits excellent double-layer capacitance (>1 μF/cm) and supports low-voltage operation through lateral gate coupling. The integration of ink-jet printing technology enables scalable and large-area fabrication, highlighting its industrial feasibility.
View Article and Find Full Text PDFACS Nano
May 2025
School of Materials Science and Engineering, University of New South Wales (UNSW), Sydney, NSW 2052, Australia.
With the increasing limitations of conventional computing techniques, particularly the von Neumann bottleneck, the brain's seamless integration of memory and processing through synapses offers a valuable model for technological innovation. Inspired by biological synapse facilitating adaptive, low-power computation by modulating signal transmission via ionic conduction, iontronic synaptic devices have emerged as one of the most promising candidates for neuromorphic computing. Meanwhile, the atomic-scale thickness and tunable electronic properties of van der Waals two-dimensional (2D) materials enable the possibility of designing highly integrated, energy-efficient devices that closely replicate synaptic plasticity.
View Article and Find Full Text PDFBiosens Bioelectron
August 2025
Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments and School of Mechanical Engineering, Southeast University, Nanjing, 211189, China. Electronic address:
Memristors exhibit significant potential for neuromorphic computing due to their unique properties. This study introduces a heterojunction nanofluidic memristor (HJNFM) and explores its applications in simulating synapses and constructing neural networks. The HJNFM consists of a SnS and MoS heterojunction nanochannel with a peptide chain valve.
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