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Ambient Stable All Inorganic CsCu2I3 Artificial Synapses for Neurocomputing.
Kyung Ju Kwak1, Ji Hyun Baek1, Da Eun Lee1
1Department of Materials Science and Engineering, Research Institute of Advanced Materials, Seoul National University, Seoul 08826, Republic of Korea.
Nano Letters
|June 8, 2022
Summary
Air-stable CsCu2I3 perovskite films enable artificial synapses with tunable plasticity and high accuracy for deep learning. These devices demonstrate long-term stability, paving the way for next-generation in-memory computing hardware.
Area of Science:
- Materials Science
- Neuroscience
- Electronics
Background:
- Halide perovskites are explored for resistive switching memories and artificial synapses due to ion migration and synthesis.
- Artificial synaptic devices mimic biological synapses for in-memory computing.
Purpose of the Study:
- To investigate the potential of environmentally friendly and air-stable CsCu2I3 perovskite films in artificial synaptic devices.
- To evaluate the synaptic plasticity and long-term stability of CsCu2I3-based artificial synapses.
- To assess the performance of these artificial synapses in deep neural network applications.
Main Methods:
- Fabrication of artificial synapses using CsCu2I3 perovskite as the active layer between Au and ITO electrodes.
- Characterization of synaptic plasticity, including long-term and short-term plasticity, paired-pulse facilitation, and spike-timing-dependent plasticity.
- Assessment of device performance and stability under ambient conditions for 160 days.
- Evaluation of learning accuracy using MNIST and Fashion MNIST datasets.
Main Results:
- The Au/CsCu2I3/ITO/glass devices exhibited tunable synaptic plasticities (potentiation and depression).
- Device performance remained stable for 160 days under ambient conditions.
- CsCu2I3-based artificial synapses achieved high learning accuracy on MNIST and Fashion MNIST datasets.
Conclusions:
- CsCu2I3 perovskite films are promising for developing stable and high-performance artificial synaptic devices.
- The study demonstrates the potential of B-site engineered halide perovskites for next-generation in-memory hardware.
- These findings pave the way for advanced neuromorphic computing applications.
Keywords:
air stableartificial synapseinorganic halide perovskitelead-freememristorneuromorphic computingMore Related Videos
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