journal article·2026-01-09

Cobalt Ion Adsorption on Polyvinyl Acetal Brushes: Impact on Silica-Nanoparticle Loading During Metal Post-Chemical Mechanical Planarization Cleaning

Maheepal Yadav, Sanjay Bisht, Byung-Hyun Kim, Hirokuni Hiyama, Tae-Gon Kim, Jin-Goo Park

ACS Applied Nano Materials· Volume 9· Issue 1
Publisher page

Abstract

Contamination of polyvinyl acetal (PVAc) brushes by dissolved metal ions, either from chemical mechanical planarization (CMP) or post-CMP cleaning, introduces significant challenges to device yield as semiconductor technology nodes continue to shrink to 10 nm and below. This study comprehensively investigates the chemical adsorption of cobalt (Co 2+ ) ions and their impact on the attachment of colloidal silica (silica) to PVAc brushes under various pH conditions. The adsorption of Co 2+ ions is significantly influenced by several factors, including concentration, solution pH, cobalt species (ions and hydroxides), particle size distribution (PSD), and surface charge. Inductively coupled plasma mass spectrometry (ICP-MS) analysis revealed that silica loading peaked at neutral pH (1006 ppb), while lower loadings were observed under acidic (522 ppb) and alkaline (213 ppb) conditions in the presence of Co 2+ ions. Fourier-transform infrared spectroscopy (FT-IR) and X-ray photoelectron spectroscopy (XPS) analyses further demonstrate that Co 2+ ions and silica adsorption mainly occurred through chemisorption. A density functional theory (DFT) approach was employed to optimize molecular structures and frontier orbitals, revealing that [Co(H 2 O) 6 ] 2+ exhibits higher reactivity compared to PVAc and silica molecules. Interaction energies (E int ) revealed that PVAc binding to unmodified silica involves weaker hydrogen bonding (E int = 0.113 eV), whereas binding to Co 2+ ions-modified silica involves stronger coordinate bonding (E int = −8.097 eV). Overall, these results highlight the critical role of Co 2+ ions in enhancing silica loading onto PVAc brushes in metal post-CMP cleaning processes.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Polymer Surface Interaction Studies · Advanced Surface Polishing Techniques · Metal Extraction and Bioleaching

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Materials Science and Chemical Engineering

Hanyang University ERICA

Department of Applied Chemistry, Center of Bionano Intelligence Education and Research

EBARA Corporation

Department of Smart Convergence Engineering

Funding

Hanyang University

References (60)

Show source-provided references
1. 10.1149/1.355150710.1149/1.3551507 ↗
2. 10.1016/j.colsurfa.2021.12718910.1016/j.colsurfa.2021.127189 ↗
3. 10.1016/j.apsusc.2021.14903510.1016/j.apsusc.2021.149035 ↗
4. 10.1016/j.colsurfa.2023.13155810.1016/j.colsurfa.2023.131558 ↗
5. 10.1016/j.mssp.2022.10712210.1016/j.mssp.2022.107122 ↗
6. 10.4028/www.scientific.net/KEM.516.8410.4028/www.scientific.net/KEM.516.84 ↗
7. 10.1016/j.mee.2015.03.03310.1016/j.mee.2015.03.033 ↗
8. 10.1016/j.colsurfa.2022.12981610.1016/j.colsurfa.2022.129816 ↗
9. 10.1016/j.electacta.2023.14318410.1016/j.electacta.2023.143184 ↗
10. 10.1016/j.mee.2022.11172110.1016/j.mee.2022.111721 ↗
11. 10.1021/acsanm.0c0230810.1021/acsanm.0c02308 ↗
12. 10.1149/2.0161912jss10.1149/2.0161912jss ↗
13. 10.1016/j.polymertesting.2019.10596210.1016/j.polymertesting.2019.105962 ↗
14. 10.4028/www.scientific.net/SSP.219.15310.4028/www.scientific.net/SSP.219.153 ↗
15. 10.1016/j.surfin.2025.10693910.1016/j.surfin.2025.106939 ↗
16. 10.1149/07705.0093ecst10.1149/07705.0093ecst ↗
17. 10.1016/j.molliq.2022.12013510.1016/j.molliq.2022.120135 ↗
18. 10.1002/qua.2188310.1002/qua.21883 ↗
19. 10.1016/j.jcis.2010.12.03110.1016/j.jcis.2010.12.031 ↗
20. 10.1080/1532038090308570910.1080/15320380903085709 ↗
21. 10.1038/s41467-022-35698-010.1038/s41467-022-35698-0 ↗
22. 10.1021/acsami.5b1191010.1021/acsami.5b11910 ↗
23. 10.1016/j.apsusc.2025.16285810.1016/j.apsusc.2025.162858 ↗
24. 10.1016/j.hydromet.2023.10622310.1016/j.hydromet.2023.106223 ↗
25. 10.1021/acs.jpcc.6b0071210.1021/acs.jpcc.6b00712 ↗
26. 10.1016/j.jhazmat.2007.05.05210.1016/j.jhazmat.2007.05.052 ↗
27. 10.1016/j.corsci.2007.07.00210.1016/j.corsci.2007.07.002 ↗
28. 10.1039/c1ay05144j10.1039/c1ay05144j ↗
29. 10.1007/s00396-019-04528-z10.1007/s00396-019-04528-z ↗
30. 10.1016/j.mseb.2025.11817710.1016/j.mseb.2025.118177 ↗
31. 10.1016/j.colsurfa.2007.07.01010.1016/j.colsurfa.2007.07.010 ↗
32. 10.1016/j.jwpe.2024.10678610.1016/j.jwpe.2024.106786 ↗
33. 10.1016/j.gsd.2020.10042510.1016/j.gsd.2020.100425 ↗
34. 10.1016/j.apsusc.2020.14729910.1016/j.apsusc.2020.147299 ↗
35. 10.1016/j.jwpe.2020.10183010.1016/j.jwpe.2020.101830 ↗
36. 10.1260/0263-6174.29.9.91710.1260/0263-6174.29.9.917 ↗
37. 10.1007/s43938-021-00005-810.1007/s43938-021-00005-8 ↗
38. 10.1023/A:101510541491610.1023/A:1015105414916 ↗
39. 10.1016/j.mee.2016.04.01410.1016/j.mee.2016.04.014 ↗
40. 10.1016/j.nxener.2023.10009010.1016/j.nxener.2023.100090 ↗
41. 10.1002/sia.74017050810.1002/sia.740170508 ↗
42. 10.1002/advs.20190283010.1002/advs.201902830 ↗
43. 10.1039/D3RA04709A10.1039/D3RA04709A ↗
44. 10.1016/j.mineng.2019.10600610.1016/j.mineng.2019.106006 ↗
45. 10.1016/j.seppur.2023.12461610.1016/j.seppur.2023.124616 ↗
46. 10.1016/j.ces.2024.12070610.1016/j.ces.2024.120706 ↗
47. 10.1016/j.apsusc.2023.15866910.1016/j.apsusc.2023.158669 ↗
48. 10.1021/acs.jpclett.9b0239810.1021/acs.jpclett.9b02398 ↗
49. 10.1002/sia.693510.1002/sia.6935 ↗
50. 10.1039/C4TA04411H10.1039/C4TA04411H ↗
51. 10.1039/C5RA20885H10.1039/C5RA20885H ↗
52. 10.1002/ejic.20210027510.1002/ejic.202100275 ↗
53. 10.1016/j.apsusc.2022.15355310.1016/j.apsusc.2022.153553 ↗
54. 10.1016/j.apsusc.2021.15016810.1016/j.apsusc.2021.150168 ↗
55. 10.1039/b002601h10.1039/b002601h ↗
56. 10.1016/j.chphi.2023.10029610.1016/j.chphi.2023.100296 ↗
57. 10.1039/D2NR01132H10.1039/D2NR01132H ↗
58. 10.1039/D0RA05042C10.1039/D0RA05042C ↗
59. 10.1016/j.comptc.2021.11328810.1016/j.comptc.2021.113288 ↗
60. 10.1007/s00289-019-02926-510.1007/s00289-019-02926-5 ↗