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Review of inductively coupled plasmas for plasma processing
Abstract
The need for large-area, high-density plasma sources for plasma-aided manufacturing of integrated circuits has created a renewed interest in inductively coupled plasmas (ICPs). Several ICP reactor geometries are briefly reviewed. Typically, inductive coupling of RF power (0.5-28 MHz) can produce ion densities in excess of 10 12 cm -3 even at submillitorr pressures. Existing electromagnetic field models of ICPs are examined and found to be in reasonable agreement with experimental results. Sputter deposition, anodic silicon oxidation and polymer etching using ICPs are also described. It is concluded that ICPs are promising candidates for meeting the future requirements of plasma processing, although considerable process development, plasma characterization and modelling are still needed.
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Cited by
Ionized physical vapor deposition (IPVD): A review of technology and applications
Helmersson, U., Lattemann, M., Bohlmark, J., Ehiasarian, A. P., & Gudmundsson, J. T. (2006) · Thin Solid Films · doi:10.1016/j.tsf.2006.03.033 · Cited by 1,081
Physics and technology of magnetron sputtering discharges
Gudmundsson, J. T. (2020) · Plasma Sources Science and Technology · doi:10.1088/1361-6595/abb7bd · Cited by 532
Mattei, S., Nishida, K., Onai, M., Lettry, J., Tran, M. Q., & Hatayama, A. (2017) · Journal of Computational Physics · doi:10.1016/j.jcp.2017.09.015 · Cited by 61
Metadata
- Authors
- Hopwood, J.
- Venue
- Plasma Sources Science and Technology
- Publisher
- IOP Publishing
- Published
- 1992-05-01
- Volume
- 1
- Issue
- 2
- Pages
- 109-116
- ISSN
- 0963-0252 (ISSN-L)
- 1361-6595
- OpenAlex
- W2008225124
- Cited by
- 690
- References
- 0
- FWCI
- 18.19
- Type
- journal article
- Language
- en
- Open access
- closed
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- Hopwood, J. (1992). Review of inductively coupled plasmas for plasma processing. Plasma Sources Science and Technology. https://doi.org/10.1088/0963-0252/1/2/006
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.