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Published on: May 13, 2020
Single ambipolar OECT-based inverter with volatility and nonvolatility on demand
Shengyu Cong1, Junxin Chen1, Miao Xie2
1Guangzhou Key Laboratory of Flexible Electronic Materials and Wearable Devices, Key Laboratory for Polymeric Composite and Functional Materials of Ministry of Education, School of Materials Science and Engineering, State Key Laboratory of Optoelectronic Materials and Technologies, Sun Yat-sen University, Guangzhou 510275, China.
We developed single-component organic electrochemical transistor (OECT)-based inverters using ambipolar p(gDPP-V) for energy-efficient artificial intelligence. These inverters demonstrate dual volatile and nonvolatile functions, enabling versatile neuromorphic computing applications.
Area of Science:
- Organic electronics
- Neuromorphic computing
- Artificial intelligence hardware
Background:
- Organic electrochemical transistors (OECTs) offer potential for energy-efficient brain-inspired AI.
- Developing single-component devices is crucial for simplifying complex neuromorphic architectures.
Purpose of the Study:
- To report single-component OECT-based inverters using ambipolar p(gDPP-V).
- To investigate the dual volatile and nonvolatile functionalities of these OECT-based inverters.
- To explore their applications in neuromorphic computing and logic circuits.
Main Methods:
- Incorporation of ambipolar p(gDPP-V) into OECTs.
- Fabrication and characterization of conventional and vertical OECT devices.
- Evaluation of inverter performance, including voltage gain and dual-mode operation.
Main Results:
- State-of-the-art ambipolar OECT performances achieved (p/n-type mode transconductance of 29/25 S cm-1, vertical transconductance of 297.2/292.4 μS μm-2).
- A highly stable vertical OECT-based inverter demonstrated a high voltage gain (105 V V-1) at a low driving voltage (0.8 V).
- The inverter exhibited voltage-regulated dual mode: volatile receptor and nonvolatile synapse.
Conclusions:
- The ambipolar OECT-based inverter shows promise for energy-efficient AI devices.
- Its dual volatile and nonvolatile operations enable applications in physiology signal recording, logic circuits, and neuromorphic simulations.
- This technology opens possibilities for reconfigurable complementary logic circuits in novel computing paradigms.
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