4.6 Article

Sulfurization Engineering of One-Step Low-Temperature MoS2 and WS2 Thin Films for Memristor Device Applications

期刊

ADVANCED ELECTRONIC MATERIALS
卷 8, 期 2, 页码 -

出版社

WILEY
DOI: 10.1002/aelm.202100515

关键词

2D materials; resistive switching; sulfurization; thin-film processing

资金

  1. National Science Foundation through the Center for Dynamics and Control of Materials: an NSF MRSEC [DMR-1720595]
  2. NSF [NNCI-2025227]
  3. U.S. Department of Energy's NNSA [89233218CNA000001]

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The research demonstrated successful synthesis of MoS2 and WS2 on sapphire wafers through a one-step sulfurization method, with the thin films transferred to SiO2/Si substrates. The fabricated MoS2 and WS2 memristors showed stable non-volatile switching and a satisfactory large on/off current ratio. Tuning the sulfurization parameters was found to be a simple and effective strategy to improve the performance of the memristors.
2D materials have been of considerable interest as new materials for device applications. Non-volatile resistive switching applications of MoS2 and WS2 have been previously demonstrated; however, these applications are dramatically limited by high temperatures and extended times needed for the large-area synthesis of 2D materials on crystalline substrates. The experimental results demonstrate a one-step sulfurization method to synthesize MoS2 and WS2 at 550 degrees C in 15 min on sapphire wafers. Furthermore, a large area transfer of the synthesized thin films to SiO2/Si substrates is achieved. Following this, MoS2 and WS2 memristors are fabricated that exhibit stable non-volatile switching and a satisfactory large on/off current ratio (10(3)-10(5)) with good uniformity. Tuning the sulfurization parameters (temperature and metal precursor thickness) is found to be a straightforward and effective strategy to improve the performance of the memristors. The demonstration of large-scale MoS2 and WS2 memristors with a one-step low-temperature sulfurization method with simple strategy to tuning can lead to potential applications such as flexible memory and neuromorphic computing.

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