Atom-Vacancy-Defect-Derived Electric Hysteresis Loops and Stochastic Low-Frequency Noises in Few-Atom Layer MoS<sub>2</sub>

Atom-vacancy-defects present in various materials yield numerous interesting physical phenomena, even obstructing high performance in some cases. On the other hand, their valuable applications to novel devices, such as nitrogen vacancy centers in diamond for quantum bits, have gathered significant attention. In particular, these tendencies become more substantial in two-dimensional (2D) (atomically) thin van der Waals layers. However, correlations with various kinds of atom defects are still under exploration. Herein, we find the stochastic behaviors of large hysteresis loops with strong photoresponse in the static electrical properties in few-atom layer semiconductors, molybdenum disulfide (MoS<sub>2</sub>). The temperature dependence and transmission electron microscopy reveal that they arise from pairs of two neighboring in-plane S-vacancy defects, which predominantly present only around the interface at the MoS<sub>2</sub> flake/substrate, with activation energies ∼0.35 eV. The low-frequency (<i>f</i>) (LF) noise measurements clarify a high <i>f</i> shift in the two 1/<i>f</i><sup>2</sup>-dependent regimes, implying stochastic behaviors of electric charges through the S-vacancy pairs with high-speed charge(spin) transitions across low kinetic energy barriers between narrow discrete states. The shallow energy sates are formed from the highly uniform S-vacancy pairs interacting with Mo atoms, which act like quantum dots. The observed stochastic operation holds promise for various application, particularly for probabilistic neuromorphic computation in artificial intelligence.

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Publication Details

Journal
ACS Applied Materials & Interfaces
Published
2024-11-05
DOI
https://doi.org/10.1021/acsami.4c13147
Citations
4
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.83

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article

Atom-Vacancy-Defect-Derived Electric Hysteresis Loops and Stochastic Low-Frequency Noises in Few-Atom Layer MoS2

Takashi Kikkawa, J. Haruyama, Eiji Saitoh, Kensuke Takaki et al.
4 citations
ACS Applied Materials & Interfaces
Advanced Memory and Neural Computing
0.83
article

Atom-Vacancy-Defect-Derived Electric Hysteresis Loops and Stochastic Low-Frequency Noises in Few-Atom Layer MoS2

Takashi Kikkawa, J. Haruyama, Eiji Saitoh, Kensuke Takaki, Shigeo Maruyama, Takashi Taniguchi, Kenji Watanabe, Takashi Kohno, Kazu Suenaga, Susumu Furuichi, Yung‐Chang Lin, Yusuke Kobayashi, Mioko Kosugi
article en
4 citations

Abstract

Atom-vacancy-defects present in various materials yield numerous interesting physical phenomena, even obstructing high performance in some cases. On the other hand, their valuable applications to novel devices, such as nitrogen vacancy centers in diamond for quantum bits, have gathered significant attention. In particular, these tendencies become more substantial in two-dimensional (2D) (atomically) thin van der Waals layers. However, correlations with various kinds of atom defects are still under exploration. Herein, we find the stochastic behaviors of large hysteresis loops with strong photoresponse in the static electrical properties in few-atom layer semiconductors, molybdenum disulfide (MoS<sub>2</sub>). The temperature dependence and transmission electron microscopy reveal that they arise from pairs of two neighboring in-plane S-vacancy defects, which predominantly present only around the interface at the MoS<sub>2</sub> flake/substrate, with activation energies ∼0.35 eV. The low-frequency (<i>f</i>) (LF) noise measurements clarify a high <i>f</i> shift in the two 1/<i>f</i><sup>2</sup>-dependent regimes, implying stochastic behaviors of electric charges through the S-vacancy pairs with high-speed charge(spin) transitions across low kinetic energy barriers between narrow discrete states. The shallow energy sates are formed from the highly uniform S-vacancy pairs interacting with Mo atoms, which act like quantum dots. The observed stochastic operation holds promise for various application, particularly for probabilistic neuromorphic computation in artificial intelligence.

ACS Applied Materials & InterfacesVol. 16(46)
Japan Atomic Energy Agency (JP), Aoyama Gakuin University (JP), Tohoku University (JP), National Institute for Materials Science (JP), Advanced Science Research Center (JP), National Institute of Advanced Industrial Science and Technology (JP), The University of Tokyo (JP), The University of Osaka (JP)
Ministry of Education, Culture, Sports, Science and Technology, Japan Society for the Promotion of Science, Research Institute, Aoyama Gakuin University, Core Research for Evolutional Science and Technology
Openalex Percentile: Top 26%
Advanced Memory and Neural Computing
0.83
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