Enhanced Performance of STI CMP by Pre-Irradiation Optimization of a Ce <sub> 1– <i>x</i> </sub> Y <sub> <i>x</i> </sub> O <sub>2</sub> /D-PVA-Based Slurry

With the continuous development of the semiconductor industry, shallow trench isolation (STI) technology is facing increasingly stringent performance requirements. Building on previous research on the dual-action mechanism of CeO<sub>2</sub>/PVA abrasive particles, this study further optimized the performance of the abrasives through Y<sup>3+</sup> doping modification. Combined with the results of ultraviolet spectroscopy analysis, photocatalytic degradation tests, and X-ray photoelectron spectroscopy (XPS) characterization, it was found that Ce<sub>0.96</sub>Y<sub>0.04</sub>O<sub>2</sub>/D-PVA abrasive particles exhibit the best photocatalytic effect. Therefore, based on the Ce<sub>0.96</sub>Y<sub>0.04</sub>O<sub>2</sub>/D-PVA system, the influence of pre-irradiation of the polishing slurry on the performance of STI CMP was further investigated. The study revealed that the polishing slurry pre-irradiated for 10 min achieved a SiO<sub>2</sub> removal rate of 2540.5 Å/min, which was 43.91% higher than that of the non-pre-irradiated group. The Si<sub>3</sub>N<sub>4</sub> removal rate was 61.53% lower than that of the non-pre-irradiated group, and the selectivity ratio increased by 276.32% to 14.3. Meanwhile, the surface roughness of SiO<sub>2</sub> and Si<sub>3</sub>N<sub>4</sub> was reduced to 0.139 and 0.128 nm, respectively, indicating a significant improvement in surface quality.

Authors

Institutions

Publication Details

Journal
Langmuir
Published
2026-03-12
DOI
https://doi.org/10.1021/acs.langmuir.5c05896
Primary Topic
Advanced Surface Polishing Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enhanced Performance of STI CMP by Pre-Irradiation Optimization of a Ce 1– x Y x O 2 /D-PVA-Based Slurry

Zheng Wang, Yansong Wang, Kailong Gao, Yu Huo et al.
Langmuir
Advanced Surface Polishing Techniques
article

Enhanced Performance of STI CMP by Pre-Irradiation Optimization of a Ce 1– x Y x O 2 /D-PVA-Based Slurry

Zheng Wang, Yansong Wang, Kailong Gao, Yu Huo, Ziheng Gao, Guosheng Zhang, Ning Xu
article en

Abstract

With the continuous development of the semiconductor industry, shallow trench isolation (STI) technology is facing increasingly stringent performance requirements. Building on previous research on the dual-action mechanism of CeO<sub>2</sub>/PVA abrasive particles, this study further optimized the performance of the abrasives through Y<sup>3+</sup> doping modification. Combined with the results of ultraviolet spectroscopy analysis, photocatalytic degradation tests, and X-ray photoelectron spectroscopy (XPS) characterization, it was found that Ce<sub>0.96</sub>Y<sub>0.04</sub>O<sub>2</sub>/D-PVA abrasive particles exhibit the best photocatalytic effect. Therefore, based on the Ce<sub>0.96</sub>Y<sub>0.04</sub>O<sub>2</sub>/D-PVA system, the influence of pre-irradiation of the polishing slurry on the performance of STI CMP was further investigated. The study revealed that the polishing slurry pre-irradiated for 10 min achieved a SiO<sub>2</sub> removal rate of 2540.5 Å/min, which was 43.91% higher than that of the non-pre-irradiated group. The Si<sub>3</sub>N<sub>4</sub> removal rate was 61.53% lower than that of the non-pre-irradiated group, and the selectivity ratio increased by 276.32% to 14.3. Meanwhile, the surface roughness of SiO<sub>2</sub> and Si<sub>3</sub>N<sub>4</sub> was reduced to 0.139 and 0.128 nm, respectively, indicating a significant improvement in surface quality.

LangmuirVol. 42(11)
Advanced Energy Materials (United States) (US), Shaanxi University of Science and Technology (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 25%
Advanced Surface Polishing Techniques
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.