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Self Focusing SIMS: Probing thin film composition in very confined volumes

Authors :
Davit Melkonyan
Paola Favia
Bastien Douhard
Alexis Franquet
Wilfried Vandervorst
Thierry Conard
Source :
Applied Surface Science. 365:143-152
Publication Year :
2016
Publisher :
Elsevier BV, 2016.

Abstract

The continued downscaling of micro and nanoelectronics devices has increased the importance of novel materials and their interfaces very strongly thereby necessitating the availability of adequate metrology and very tight process control as well. For instance, the introduction of materials like SiGe or III-V compounds leads to the need for the determination of the exact composition and thickness of the resulting thin films. Concurrent with this trend, one is faced with layer growth concepts such as aspect ratio trapping, which exploit the reduced dimensionality of the devices. As this leads to films with very different characteristics as compared to their blanket counterparts, characterization now has to be performed on thin films grown in very confined volumes (with dimensions ranging down to less than 10–20 nm) and standard analysis methods like X-Ray Photoelectron Spectroscopy, Secondary Ion Mass Spectrometry (SIMS) and Rutherford Backscattering Spectrometry, no longer seem applicable due to a lack of spatial resolution. On the other hand, techniques with appropriate spatial resolution like Atom Probe Tomography or Transmission Electron Microscopy are time consuming and suffer from a lack of sensitivity due to their highly localized analysis volume. In this paper, a novel concept termed Self Focusing SIMS, is presented which overcomes the spatial resolution limitations of SIMS without sacrificing the sensitivity. The concept is based on determining the composition of a specific compound using cluster ions which contain the constituents of the compound. Their formation mechanism implies that all cluster constituents originate from the same collision cascade and are emitted in close proximity (

Details

ISSN :
01694332
Volume :
365
Database :
OpenAIRE
Journal :
Applied Surface Science
Accession number :
edsair.doi...........8fa75068c10472ab52885afd903efeec
Full Text :
https://doi.org/10.1016/j.apsusc.2016.01.056