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Updated: Feb 11, 2026

Residue-Free Fabrication of van der Waals Heterostructures of Two-Dimensional Materials
Published on: July 18, 2025
Ion Gated Synaptic Transistors Based on 2D van der Waals Crystals with Tunable Diffusive Dynamics
Jiadi Zhu1, Yuchao Yang1, Rundong Jia1
1Key Laboratory of Microelectronic Devices and Circuits (MOE), Institute of Microelectronics, Peking University, Beijing, 100871, China.
Researchers developed a novel synaptic transistor using layered materials for neuromorphic computing. This device exhibits tunable short- and long-term plasticity with ultra-low energy consumption, paving the way for efficient artificial intelligence systems.
Area of Science:
- Materials Science
- Neuroscience
- Computer Engineering
Background:
- Neuromorphic computing aims for intelligent, energy-efficient computation.
- Biorealistic synaptic elements with tunable dynamics are crucial for neuromorphic systems.
- Existing synaptic devices often lack robust mechanisms for plasticity control.
Purpose of the Study:
- To demonstrate an ionic-gating-modulated synaptic transistor.
- To achieve diverse short-term and long-term plasticity with low energy consumption.
- To elucidate the mechanism behind the observed synaptic plasticity.
Main Methods:
- Fabrication of synaptic transistors using transitional metal dichalcogenides and phosphorus trichalcogenides.
- Characterization using transmission electron microscopy (TEM).
- Ab initio calculations to understand ionic gating effects.
Main Results:
- Demonstrated a synaptic transistor with tunable short- and long-term plasticity (e.g., excitatory postsynaptic current, paired pulse facilitation).
- Achieved remarkable linearity and ultra-low energy consumption (≈30 fJ per spike).
- Revealed two-stage ionic gating (surface adsorption and internal intercalation) driving plasticity.
Conclusions:
- The synaptic transistor exhibits rich, tunable plasticity through ionic gating.
- The device offers a promising platform for low-power neuromorphic computing systems.
- Tailoring material properties and gate stimulations allows effective control of synaptic activity.
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