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Artificial 2D van der Waals Synapse Devices via Interfacial Engineering for Neuromorphic Systems
Woojin Park1, Hye Yeon Jang1, Jae Hyeon Nam1
1Department of Advanced Material Engineering, Chungbuk National University, Chungdae-ro 1, Seowon-Gu, Cheongju, Chungbuk 28644, Korea.
Nanomaterials (Basel, Switzerland)
|January 8, 2020
Summary
Researchers developed a novel artificial synapse using a NbSe2/WSe2/Nb2O5 heterostructure. The interlayer thickness controls synaptic plasticity, enabling controllable brain-inspired computing devices.
Area of Science:
- Materials Science
- Neuroscience
- Electrical Engineering
Background:
- Neuromorphic hardware aims to mimic the brain's efficiency using artificial synapse devices.
- Current artificial synapse research requires a physical parameter to effectively modulate synaptic plasticity.
- Conventional silicon-based complementary metal-oxide semiconductor (CMOS) technology faces limitations in developing advanced neuromorphic systems.
Purpose of the Study:
- To design and investigate a novel two-dimensional artificial synapse architecture.
- To identify and utilize a physical parameter for modulating synaptic plasticity in artificial synapses.
- To overcome limitations of conventional silicon-based technologies for brain-inspired computing.
Main Methods:
- Fabrication of a novel two-dimensional heterostructure: NbSe2/WSe2/Nb2O5 on an SiO2/p+ Si substrate.
- Utilized NbSe2 as the metal electrode, WSe2 as the active channel, and Nb2O5 as the conductance-modulating layer.
- Investigated the effect of Nb2O5 interlayer thickness on synaptic plasticity and post-synaptic current.
Main Results:
- Successfully modulated post-synaptic current by varying the thickness of the Nb2O5 interlayer.
- Demonstrated that a thicker Nb2O5 interlayer results in a higher synapse spike current.
- Observed stronger synaptic interaction in sequential pulse mode with increased interlayer thickness.
Conclusions:
- The thickness of the Nb2O5 interlayer is a key physical parameter for controlling synaptic plasticity.
- This novel heterostructure facilitates the development of reliable and controllable synaptic devices.
- The findings contribute to the realization of integrated neuromorphic systems inspired by the human brain.

