Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Applied Spectroscopy
  • Vol. 45,
  • Issue 1,
  • pp. 121-123
  • (1991)

Correcting for Oxygen Concentrations in Single-Side Polished Wafers

Not Accessible

Your library or personal account may give you access

Abstract

The use of single-side polished (SSP) silicon wafers is becoming more commonplace in the semiconductor industry, due to the cost involved in polishing wafers. The determination of the oxygen concentration in such wafers is subject to various errors as a result of the scattering of radiation from the uneven backsides. Moreover, the prescribed ASTM procedures for such a determination are based on samples with both sides polished. In addition, one is sometimes required to compare oxygen concentrations in SSP and double-side polished (DSP) wafers.

PDF Article
More Like This
Improved geometry of double-sided polished parallel wafers prepared for direct wafer bonding

Jan Haisma, Frank J. H. M. van der Kruis, Bert A. C. M. Spierings, Jan Jaap Baalbergen, Bart H. Bijsterveld, Ruud Brehm, Jan H. P. M. Faasen, Jan. J. C. Groenen, Peter W. de Haas, Theo B. J. Haddeman, Theo M. Michielsen, and Jaap Vijfvinkel
Appl. Opt. 33(34) 7945-7954 (1994)

Side-polished fibers

Shiao-Min Tseng and Chin-Lin Chen
Appl. Opt. 31(18) 3438-3447 (1992)

Comparison of single-side and double-side pumping of membrane external-cavity surface-emitting lasers

Hermann Kahle, Jussi-Pekka Penttinen, Hoy-My Phung, Patrik Rajala, Antti Tukiainen, Sanna Ranta, and Mircea Guina
Opt. Lett. 44(5) 1146-1149 (2019)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.