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Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes
Published on: March 9, 2019
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Organic-Inorganic Hybrid Synaptic Transistors: Methyl-Silsesquioxanes-Based Electric Double Layer for Enhanced
Tae-Gyu Hwang1, Hamin Park2, Won-Ju Cho1
1Department of Electronic Materials Engineering, Kwangwoon University, Gwangun-ro 20, Nowon-gu, Seoul 01897, Republic of Korea.
Biomimetics (Basel, Switzerland)
|March 27, 2024
Summary
New hybrid synaptic transistors use stable methyl silsesquioxane (MSQ) electrolytes for CMOS compatibility. These devices mimic brain synapses and achieve high recognition rates in deep neural networks.
Area of Science:
- Materials Science
- Neuroscience
- Electrical Engineering
Background:
- Organic electrical double-layer (EDL) synaptic transistors lack thermal and chemical stability, limiting their integration with CMOS processes.
- Existing organic materials are incompatible with high-temperature CMOS fabrication due to poor stability.
Purpose of the Study:
- To develop stable organic-inorganic hybrid synaptic transistors compatible with CMOS processes.
- To investigate the synaptic behaviors and information storage capabilities of these novel transistors.
Main Methods:
- Fabrication of Al/MSQ electrolyte/Pt capacitors and MSQ-based EDL synaptic transistors.
- Characterization of device capacitance and synaptic functionalities (excitatory post-synaptic current, paired-pulse facilitation, etc.).
- Training a deep neural network (DNN) using a handwritten dataset to evaluate device performance.
Main Results:
- MSQ electrolytes demonstrated excellent thermal and chemical stability, ensuring CMOS process compatibility.
- MSQ-based EDL synaptic transistors exhibited diverse synaptic behaviors and stable operation over five cycles.
- A DNN trained with these transistors achieved a 92.28% recognition rate on the MNIST dataset.
Conclusions:
- MSQ-based hybrid synaptic transistors offer a promising solution for next-generation artificial synapse components.
- The demonstrated stability and functionality pave the way for advanced neuromorphic computing applications.
- These devices bridge the gap between organic electronics and established semiconductor manufacturing.
Keywords:
CMOS compatibilityelectrical double layer (EDL)neuromorphic computingorganic–inorganic synaptic transistorsynaptic functionalitythermal/chemical stabilityMore Related Videos
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