Reconfigurable Vertical Phototransistor with MoTe<sub>2</sub> Homojunction for High-Speed Rectifier and Multivalued Logical Circuits

The most reported two-dimensional (2D) reconfigurable multivalued logic (RMVL) devices primarily involve a planar configuration and carrier transport, which limits the high-density circuit integration and high-speed logic operation. In this work, the vertical transistors with reconfigurable MoTe<sub>2</sub> homojunction are developed for low-power, high-speed, multivalued logic circuits. Through top/bottom dual-gate modulation, the transistors can be configured into four modes: P-i-N, N-i-P, P-i-P, and N-i-N. The reconfigurable rectifying and photovoltaic behaviors are observed in P-i-N and N-i-P configurations, exhibiting ideal diode characteristics with a current rectification ratio over 10<sup>5</sup> and sign-reversible photovoltaic response with a photoswitching ratio up to 7.44 × 10<sup>5</sup>. Taking advantage of the seamless homogeneous integration and short vertical channel architecture, the transistor can operate as an electrical switch with an ultrafast speed of 680 ns, surpassing the conventional p-n diode. The MoTe<sub>2</sub> half-wave rectifier is then applied in high-frequency integrated circuits using both square wave and sinusoidal waveforms. By applying an electrical pulse with a 1/4 phase difference between two input signals, the RMVL circuit has been achieved. This work proposes a universal and reconfigurable vertical transistor, enabled by dual-gate electrostatic doping on top/bottom sides of MoTe<sub>2</sub> homojunction, suggesting a high integration device scheme for high-speed RMVL circuits and systems.

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Publication Details

Journal
ACS Nano
Published
2024-08-15
DOI
https://doi.org/10.1021/acsnano.4c08345
Citations
22
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
4.59

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Reconfigurable Vertical Phototransistor with MoTe2 Homojunction for High-Speed Rectifier and Multivalued Logical Circuits

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ACS Nano
Advanced Memory and Neural Computing
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article

Reconfigurable Vertical Phototransistor with MoTe2 Homojunction for High-Speed Rectifier and Multivalued Logical Circuits

Yiming Sun, Yong Yan, Qunrui Deng, Shasha Li, Lingyu Zhu, Xueting Liu, Nengjie Huo, Tao Zheng, Jielian Zhang, Wenbo Yue, Ling Li, Yuan Pan, Tu Zhao
article en
22 citations

Abstract

The most reported two-dimensional (2D) reconfigurable multivalued logic (RMVL) devices primarily involve a planar configuration and carrier transport, which limits the high-density circuit integration and high-speed logic operation. In this work, the vertical transistors with reconfigurable MoTe<sub>2</sub> homojunction are developed for low-power, high-speed, multivalued logic circuits. Through top/bottom dual-gate modulation, the transistors can be configured into four modes: P-i-N, N-i-P, P-i-P, and N-i-N. The reconfigurable rectifying and photovoltaic behaviors are observed in P-i-N and N-i-P configurations, exhibiting ideal diode characteristics with a current rectification ratio over 10<sup>5</sup> and sign-reversible photovoltaic response with a photoswitching ratio up to 7.44 × 10<sup>5</sup>. Taking advantage of the seamless homogeneous integration and short vertical channel architecture, the transistor can operate as an electrical switch with an ultrafast speed of 680 ns, surpassing the conventional p-n diode. The MoTe<sub>2</sub> half-wave rectifier is then applied in high-frequency integrated circuits using both square wave and sinusoidal waveforms. By applying an electrical pulse with a 1/4 phase difference between two input signals, the RMVL circuit has been achieved. This work proposes a universal and reconfigurable vertical transistor, enabled by dual-gate electrostatic doping on top/bottom sides of MoTe<sub>2</sub> homojunction, suggesting a high integration device scheme for high-speed RMVL circuits and systems.

ACS NanoVol. 18(34)
University of Science and Technology of China (CN), South China Normal University (CN), Chaohu University (CN)
National Natural Science Foundation of China, Basic and Applied Basic Research Foundation of Guangdong Province
Affordable and clean energy
Openalex Percentile: Top 5%
Advanced Memory and Neural Computing
4.59
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