Skip to main navigation Skip to search Skip to main content

Analysis of large particle count in fumed silica slurries and its correlation with scratch defects generated by CMP

  • Edward E. Remsen
  • , Sriram Anjur
  • , David Boldridge
  • , Mungai Kamiti
  • , Shoutian Li
  • , Timothy Johns
  • , Charles Dowell
  • , Jaishankar Kasthurirangan
  • , Paul Feeney
  • Cabot Microelectronics Corporation

Research output: Contribution to journal › Article › peer-review

85 Scopus citations

Abstract

The large particle count (LPC) of fumed silica slurries was evaluated and correlated with scratch counts created on Si O2 films by table-top, chemical-mechanical planarization (CMP). Particle sizing results obtained by static light scattering, capillary hydrodynamic fractionation, and dual-sensor single particle optical sensing (SPOS) pointed to the latter as the superior method for quantitative analyses of the LPC. Dual-sensor SPOS is a new technique that determines the LPC on a silica sphere-equivalent, light-scattering diameter scale for particles as small as 0.469 μm. LPC measurements used in combination with dark-field optical microscopy for scratch metrology afforded linear correlations between scratch counts and the LPC. Particles producing scratches had silica sphere-equivalent, light-scattering diameters exceeding 0.68 μm. Inclusion of these particles in the LPC produced a two-fold increase in the number of scratch-forming particles in the correlation relative to correlations generated via single-sensor SPOS measurements of LPC. Experimental uncertainty in scratch counts limited the correlation as a scratch predictor. Slurries differing in LPC by a minimum of 1.8× 105 particles gslurry had statistically different predicted scratch counts at the 95% confidence level. Additional method development is needed to extend LPC-based scratch prediction to other CMP processes producing scratch defects.

Original languageEnglish
Pages (from-to)G453-G461
JournalJournal of the Electrochemical Society
Volume153
Issue number5
DOIs
StatePublished - 2006

Fingerprint

Dive into the research topics of 'Analysis of large particle count in fumed silica slurries and its correlation with scratch defects generated by CMP'. Together they form a unique fingerprint.

Cite this