Presentation 1994/11/24
Precise SIMS Analysis of Shallow Doping Profiles Based on the Internal Standard Method
Guo-Lin Liu, Izumi Aikawa, Hidetsugu Uchida, Shigeki Kuroda, Norio Hirashita,
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Abstract(in English) Precise quantitative method to evaluate shallow doping profiles in Si has been investigated by secondary ion mass spectrometry(SIMS) with the internal standard method. SIMSmeasurements with the internal standard,formed by Poly-Si deposition and following ion implantation on samples to be measured,exhibit a good reproducibility of doping profiles in the sample.The reproducibility is found to be better than 5% in relative standard deviation between 17measurements.Quantitative evaluation,using chemical analysis,of the internal standard implantation dosage is also found to be effective to provide accurate quantitative SIMS profiling.This work demonstrates a successful improvement of quantitative SIMS analysis of shallow doping profiles in Si.
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Keyword(in English) SIMS / doping profiles / internal standard method / quantitative analysis
Paper # SDM94-136
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Committee SDM
Conference Date 1994/11/24(1days)
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Registration To Silicon Device and Materials (SDM)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Precise SIMS Analysis of Shallow Doping Profiles Based on the Internal Standard Method
Sub Title (in English)
Keyword(1) SIMS
Keyword(2) doping profiles
Keyword(3) internal standard method
Keyword(4) quantitative analysis
1st Author's Name Guo-Lin Liu
1st Author's Affiliation VLSI R&D Center,Oki Electric Industry Co.,Ltd.()
2nd Author's Name Izumi Aikawa
2nd Author's Affiliation VLSI R&D Center,Oki Electric Industry Co.,Ltd.
3rd Author's Name Hidetsugu Uchida
3rd Author's Affiliation VLSI R&D Center,Oki Electric Industry Co.,Ltd.
4th Author's Name Shigeki Kuroda
4th Author's Affiliation VLSI R&D Center,Oki Electric Industry Co.,Ltd.
5th Author's Name Norio Hirashita
5th Author's Affiliation VLSI R&D Center,Oki Electric Industry Co.,Ltd.
Date 1994/11/24
Paper # SDM94-136
Volume (vol) vol.94
Number (no) 366
Page pp.pp.-
#Pages 6
Date of Issue