Nickel-Assisted Laser Oxidation of WSe <sub>2</sub> Layered Films for Spatially Controlled WO <sub>3</sub> Patterning Process toward Resistive Memory and Molecular Sensing

A novel approach to convert a 2D WSe<sub>2</sub> film into a WO<sub><i>x</i></sub> film by the laser-induced oxidation process using a nickel (Ni) adsorption layer, namely Ni-assisted laser oxidation process, was demonstrated. A layer of Ni metal was deposited to absorb the heat of the laser and oxidize the top WSe<sub>2</sub> layer, for which an aluminum oxide (Al<sub>2</sub>O<sub>3</sub>) layer is then deposited as a barrier layer. A continuous wave laser with a wavelength of 808 nm is selected as the laser source, as it is not absorbed by the WSe<sub>2</sub> layer. By introducing a patterned Ni layer, the selective oxidation process on WSe<sub>2</sub> into WO<sub>3</sub> can be achieved owing to the photothermal effects caused by the Ni layer with O<sub>2</sub> gas. The successful oxidation parameters, including laser powers and irradiation durations with a fixed Al<sub>2</sub>O<sub>3</sub> barrier layer thickness of 50 nm, were investigated. Resistive random-access memory (RRAM) devices fabricated using the Ni-assisted laser-oxidized WO<sub>3</sub> structure exhibit clear resistive switching behavior compared to the structure without the laser oxidation process. In addition, the Ni-assisted laser-oxidized WO<sub>3</sub> structure showed obvious surface enhanced Raman spectroscopy (SERS) signals of crystal violet (CV) and methylene blue (MB) with the lowest concentration of 10<sup>-6</sup> M.

Authors

Institutions

Publication Details

Journal
ACS Applied Materials & Interfaces
Published
2025-12-01
DOI
https://doi.org/10.1021/acsami.5c17500
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Nickel-Assisted Laser Oxidation of WSe 2 Layered Films for Spatially Controlled WO 3 Patterning Process toward Resistive Memory and Molecular Sensing

Yu‐Lun Chueh, Yuqi Huang, Yi‐Jen Yu, Po‐Chien Lai et al.
ACS Applied Materials & Interfaces
Advanced Memory and Neural Computing
article

Nickel-Assisted Laser Oxidation of WSe 2 Layered Films for Spatially Controlled WO 3 Patterning Process toward Resistive Memory and Molecular Sensing

Yu‐Lun Chueh, Yuqi Huang, Yi‐Jen Yu, Po‐Chien Lai, Chieh-Ting Chen, Yu‐Chieh Hsu, Ruei‐Hong Cyu, Chang Shen
article en

Abstract

A novel approach to convert a 2D WSe<sub>2</sub> film into a WO<sub><i>x</i></sub> film by the laser-induced oxidation process using a nickel (Ni) adsorption layer, namely Ni-assisted laser oxidation process, was demonstrated. A layer of Ni metal was deposited to absorb the heat of the laser and oxidize the top WSe<sub>2</sub> layer, for which an aluminum oxide (Al<sub>2</sub>O<sub>3</sub>) layer is then deposited as a barrier layer. A continuous wave laser with a wavelength of 808 nm is selected as the laser source, as it is not absorbed by the WSe<sub>2</sub> layer. By introducing a patterned Ni layer, the selective oxidation process on WSe<sub>2</sub> into WO<sub>3</sub> can be achieved owing to the photothermal effects caused by the Ni layer with O<sub>2</sub> gas. The successful oxidation parameters, including laser powers and irradiation durations with a fixed Al<sub>2</sub>O<sub>3</sub> barrier layer thickness of 50 nm, were investigated. Resistive random-access memory (RRAM) devices fabricated using the Ni-assisted laser-oxidized WO<sub>3</sub> structure exhibit clear resistive switching behavior compared to the structure without the laser oxidation process. In addition, the Ni-assisted laser-oxidized WO<sub>3</sub> structure showed obvious surface enhanced Raman spectroscopy (SERS) signals of crystal violet (CV) and methylene blue (MB) with the lowest concentration of 10<sup>-6</sup> M.

ACS Applied Materials & InterfacesVol. 17(49)
National Sun Yat-sen University (TW), Korea University (KR), National Tsing Hua University (TW), Shanghai Optical Instrument Research Institute (CN)
Openalex Percentile: Top 63%
Advanced Memory and Neural Computing
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.