Semantic Scholar Open Access 2019 268 sitasi

Environment friendly chemical mechanical polishing of copper

Zhenyu Zhang Junfeng Cui Jiabo Zhang Dongdong Liu Zhijian Yu +1 lainnya

Abstrak

Abstract Chemical mechanical polishing slurry of copper usually contains more than four compositions, in which strong acids, alkalis or hazardous chemicals are normally employed. With these slurries, surface roughness less than 1 nm is difficult to obtain on the surface of copper after chemical mechanical polishing. It is a challenge to develop a kind of novel chemical mechanical polishing slurry for copper including three environment friendly compositions. In this study, a kind of novel chemical mechanical polishing slurry is developed consisting of silica, hydrogen peroxide and chitosan oligosaccharide, where all the three compositions are environment friendly. After chemical mechanical polishing, surface roughness Ra and peak-to-valley values are 0.444 and 5.468 nm respectively. Chemical mechanical polishing mechanism is elucidated by infrared and X-ray photoelectron spectra and electrochemical measurements. Firstly, Cu surface is oxidized by hydrogen peroxide, forming CuO and Cu(OH)2. Then, CuO and Cu(OH)2 are dissolved by H+ ions released by the ionization of chitosan oligosaccharide. Subsequently, Cu2+ ions are chelated by chitosan oligosaccharide molecules. Finally, the adsorbed layer is removed by silica nanospheres, generating ultra-smooth surface of copper. The findings propose a new route for fabrication devices of copper and other transition metals used in integrated circuits, graphene, transformers, batteries and electronics industries.

Topik & Kata Kunci

Penulis (6)

Z

Zhenyu Zhang

J

Junfeng Cui

J

Jiabo Zhang

D

Dongdong Liu

Z

Zhijian Yu

D

D. Guo

Format Sitasi

Zhang, Z., Cui, J., Zhang, J., Liu, D., Yu, Z., Guo, D. (2019). Environment friendly chemical mechanical polishing of copper. https://doi.org/10.1016/J.APSUSC.2018.10.133

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Informasi Jurnal
Tahun Terbit
2019
Bahasa
en
Total Sitasi
268×
Sumber Database
Semantic Scholar
DOI
10.1016/J.APSUSC.2018.10.133
Akses
Open Access ✓