Evaluation of correlation between chemical modification state of pad and polishing rate in oxide chemical mechanical planarization

被引:3
|
作者
Fujita, Takashi [1 ,2 ]
机构
[1] Kindai Univ, Sci & Technol Fac, 3-4-1 Kowakae, Higashiosaka, Osaka 5778502, Japan
[2] 2-1-52-202 Wakaehigashimachi, Higashiosaka, Osaka 5780935, Japan
关键词
Silicon oxides; Chemical mechanical planarization; Fourier-Transform infrared spectroscopy; Process parameters; Pad conditioning; Brushing; Hydrolysis; STRESS;
D O I
10.1016/j.tsf.2020.138233
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In the chemical-mechanical planarization of oxide films, the polishing rate (the rate of material removal) decreases if the polishing pad is not regularly conditioned. Pad brushing, which removed polishing debris but did not otherwise alter the pad surface, was unable to restore the original polishing rate. On the other hand, pad conditioning, in which the pad surface was scraped off, restored the original polishing rate. The morphological state and the chemical modification state of the pad surface were evaluated as factors affecting the polishing rate. FTIR (Fourier-Transform infrared spectroscopy) analysis showed that some of the polyurethane molecules of the pad surface were hydrolyzed. The degree of pad modification at each position in the pad radial direction was quantified based on the FTIR results, and the degree of pad modification was compared with the actual polishing profile within a wafer. The profile based on chemical modification of the pad matched the actual polishing profile. It was shown that not only the morphological factors of the pad but also the chemical modification factors greatly affected the polishing rate.
引用
收藏
页数:8
相关论文
共 50 条
  • [41] A wafer-scale material removal rate profile model for copper chemical mechanical planarization
    Lee, Hyunseop
    Jeong, Haedo
    INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2011, 51 (05): : 395 - 403
  • [42] Effect of polishing parameters on abrasive free chemical mechanical planarization of semi-polar(1122) aluminum nitride surface
    Khushnuma Asghar
    D.Das
    Journal of Semiconductors, 2016, (03) : 119 - 125
  • [43] Feasibility of a Real-Time Method in Determine the Extent of Pad Break-In During Copper Chemical Mechanical Planarization
    Han, Ruochen
    Sampurno, Yasa
    Philipossian, Ara
    TRIBOLOGY LETTERS, 2016, 62 (02)
  • [44] Development and analysis of a high-pressure micro jet pad conditioning system for interlayer dielectric chemical mechanical planarization
    Seike, Y
    DeNardis, D
    Sugiyama, M
    Miyachi, K
    Doi, T
    Philipossian, A
    JAPANESE JOURNAL OF APPLIED PHYSICS PART 1-REGULAR PAPERS BRIEF COMMUNICATIONS & REVIEW PAPERS, 2005, 44 (03): : 1225 - 1231
  • [45] Feasibility of a Real-Time Method in Determine the Extent of Pad Break-In During Copper Chemical Mechanical Planarization
    Ruochen Han
    Yasa Sampurno
    Ara Philipossian
    Tribology Letters, 2016, 62
  • [46] Interfacial Chemical and Mechanical Reactions between Tungsten-Film and Nano-Scale Colloidal Zirconia Abrasives for Chemical-Mechanical-Planarization
    Seo, Eun-Bin
    Bae, Jae-Young
    Kim, Sung-In
    Choi, Han-Eol
    Son, Young-Hye
    Yun, Sang-Su
    Park, Jin-Hyung
    Park, Jea-Gun
    ECS JOURNAL OF SOLID STATE SCIENCE AND TECHNOLOGY, 2020, 9 (05)
  • [47] Highly Selective Polishing Rate Between a Tungsten Film and a Silicon-Dioxide Film by Using a Malic-Acid Selectivity Agent in Tungsten-Film Chemical-Mechanical Planarization
    Seo, Eun-Bin
    Park, Jea-Gun
    Bae, Jae-Young
    Park, Jin-Hyung
    JOURNAL OF THE KOREAN PHYSICAL SOCIETY, 2020, 76 (12) : 1127 - 1132
  • [48] Highly Selective Polishing Rate Between a Tungsten Film and a Silicon-Dioxide Film by Using a Malic-Acid Selectivity Agent in Tungsten-Film Chemical-Mechanical Planarization
    Eun-Bin Seo
    Jea-Gun Park
    Jae-Young Bae
    Jin-Hyung Park
    Journal of the Korean Physical Society, 2020, 76 : 1127 - 1132
  • [49] Predictive modeling of material removal rate in chemical mechanical planarization with physics-informed machine learning
    Yu, Tianyu
    Li, Zhixiong
    Wu, Dazhong
    WEAR, 2019, 426 : 1430 - 1438
  • [50] Material removal rate prediction in chemical mechanical planarization with conditional probabilistic autoencoder and stacking ensemble learning
    Yupeng Wei
    Dazhong Wu
    Journal of Intelligent Manufacturing, 2024, 35 : 115 - 127