Atomistic Mechanisms of the Crystallographic Orientation‐Dependent Cu<sub>1.8</sub>S Conductive Channel Formation in Cu<sub>2</sub>S‐Based Memristors

Achieving multiple types of resistive switching in a single material with controlled ionic motion is a key challenge in neuromorphic computing, traditionally addressed by combining materials with distinct switching behaviors. Here, Cu<sub>2-x</sub>S is identified as a promising candidate to overcome this limitation due to its hierarchical phase transitions. Using in situ biasing experiments, reversible and non-reversible phase transitions (and resistive switching) are demonstrated in γ-Cu<sub>2</sub>S by controlling the compliance current. The formation of parallel high-digenite Cu<sub>1.8</sub>S channels, orientated along the γ-Cu<sub>2</sub>S [201] crystallographic direction, drives the nonvolatile resistive switching. These channels emerge via an intermediate δ-Cu<sub>2</sub>S phase and are stabilized at room temperature by residual strains, alongside β-Cu<sub>2</sub>S phase. The work clarifies the complex, electrically triggered phase transformations in γ-Cu<sub>2</sub>S, and highlights the potential of Cu<sub>2-x</sub>S as a versatile material for neuromorphic computing.

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Publication Details

Journal
Advanced Materials
Published
2025-05-24
DOI
https://doi.org/10.1002/adma.202501300
Citations
3
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
2.19

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article

Atomistic Mechanisms of the Crystallographic Orientation‐Dependent Cu1.8S Conductive Channel Formation in Cu2S‐Based Memristors

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3 citations
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2.19
article

Atomistic Mechanisms of the Crystallographic Orientation‐Dependent Cu1.8S Conductive Channel Formation in Cu2S‐Based Memristors

Shaobo Cheng, Chongxin Shan, Yi Xu, Dongyang Wang, Xing Li, Yimei Zhu, Ying Guo, Wentao Huang, W. Yan
article en
3 citations

Abstract

Achieving multiple types of resistive switching in a single material with controlled ionic motion is a key challenge in neuromorphic computing, traditionally addressed by combining materials with distinct switching behaviors. Here, Cu<sub>2-x</sub>S is identified as a promising candidate to overcome this limitation due to its hierarchical phase transitions. Using in situ biasing experiments, reversible and non-reversible phase transitions (and resistive switching) are demonstrated in γ-Cu<sub>2</sub>S by controlling the compliance current. The formation of parallel high-digenite Cu<sub>1.8</sub>S channels, orientated along the γ-Cu<sub>2</sub>S [201] crystallographic direction, drives the nonvolatile resistive switching. These channels emerge via an intermediate δ-Cu<sub>2</sub>S phase and are stabilized at room temperature by residual strains, alongside β-Cu<sub>2</sub>S phase. The work clarifies the complex, electrically triggered phase transformations in γ-Cu<sub>2</sub>S, and highlights the potential of Cu<sub>2-x</sub>S as a versatile material for neuromorphic computing.

Advanced MaterialsVol. 37(32)
Brookhaven National Laboratory (US), Zhengzhou University of Light Industry (CN), Henan Academy of Sciences (CN), Tsinghua University (CN)
U.S. Department of Energy, National Natural Science Foundation of China, Natural Science Foundation of Henan Province, National Supercomputing Center, Korea Institute of Science and Technology Information
Openalex Percentile: Top 12%
Advanced Memory and Neural Computing
2.19
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