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Science Advances
Article . 2024 . Peer-reviewed
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Single ambipolar OECT–based inverter with volatility and nonvolatility on demand

Authors: Shengyu Cong; Junxin Chen; Miao Xie; Ziyi Deng; Chaoyue Chen; Riping Liu; Jiayao Duan; +6 Authors

Single ambipolar OECT–based inverter with volatility and nonvolatility on demand

Abstract

Organic electrochemical transistor (OECT)–based inverter introduces new prospects for energy-efficient brain-inspired artificial intelligence devices. Here, we report single-component OECT-based inverters by incorporating ambipolar p(gDPP-V). Notably, p(gDPP-V) shows state-of-the-art ambipolar OECT performances in both conventional (p/n-type mode transconductance of 29/25 S cm −1 ) and vertical (transconductance of 297.2/292.4 μS μm −2 under p/n operation) device architectures. Especially, the resulting highly stable vertical OECT–based inverter shows a high voltage gain of 105 V V −1 under a low driving voltage of 0.8 V. The inverter exhibits undiscovered voltage-regulated dual mode: volatile receptor and nonvolatile synapse. Moreover, applications of physiology signal recording and demonstrations of NAND/NOR logic circuits are investigated within the volatile feature, while neuromorphic simulations with a convolutional neural network and image memorizing capabilities are explored under the nonvolatile behavior. The ambipolar OECT–based inverter, capable of both volatile and nonvolatile operations, provides possibilities for the applications of reconfigurable complementary logic circuits in novel neuromorphic computing paradigms.

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Physical and Materials Sciences

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
36
Top 10%
Top 10%
Top 1%
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