Effect of Small O<sub>2</sub> and N<sub>2</sub> Admixture in Ar/H<sub>2</sub> Remote Plasma Cleaning on SiOCH in Back-End-of-Line Cu Seed Layer Fabrication
This study investigates the effects of nitrogen (N 2 ) and oxygen (O 2 ) plasma, in addition to argon (Ar)/hydrogen (H 2 ) plasma, during remote plasma cleaning (RPC) in back-end-of-line (BEOL) integration, particularly for Cu–Mn/Co/TaN barrier-metal stacks deposited on SiOCH low-k dielectrics. The primary objective is to evaluate the role of these plasmas in removing Cu–Mn surface oxides (e.g., Cu 2 O, CuO, MnO x ) from the materials while minimizing damage to the underlying SiOCH layer. Our results show that O 2 and N 2 plasma treatments induce changes in the bonding structure of low-k materials by depleting carbon atoms and forming Si-OH bonds, leading to increased dielectric constant and moisture uptake. The dielectric constant (k-value) increased from 2.87 ± 0.05 (pristine SiOCH) to 3.00 ± 0.05 after Ar/H 2 /O 2 treatment, whereas after the Ar/H 2 /N 2 treatment, a stable k-value of 2.86 ± 0.05 was maintained, indicating a lower degree of plasma-induced damage. Furthermore, depth profile analyses using time-of-flight secondary ion mass spectrometry and X-ray photoelectron spectroscopy confirmed that Ar/H 2 /N 2 plasma effectively reduced oxygen diffusion into the Cu–Mn/TaN barrier layers, thereby mitigating oxidation-related reliability concerns during BEOL processing.
Authors
- Kyong Nam Kim
- G.Y. Yeom (ORCID: https://orcid.org/0000-0002-1176-7448)
- Byeong Hwa Jeong (ORCID: https://orcid.org/0009-0002-8002-6595)
- Sun Young Lee (ORCID: https://orcid.org/0000-0002-6928-7471)
- Dong Woo Kim (ORCID: https://orcid.org/0000-0002-3958-8935)
Institutions
- Daejeon University (KR)
- Sungkyunkwan University (KR)
Publication Details
- Journal
- ECS Journal of Solid State Science and Technology
- Published
- 2025-05-23
- DOI
- https://doi.org/10.1149/2162-8777/addc9a
- Citations
- 1
- Primary Topic
- Advanced Surface Polishing Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.67