2004
DOI: 10.1016/j.nimb.2003.09.005
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Electronic stopping powers for heavy ions in silicon

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Cited by 29 publications
(17 citation statements)
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“…Since the SRIM predicted electronic stopping power for He in SrTiO 3 is used to convert energy differences, accurate electronic stopping power values are essential to the reliable determination of both damage profile and Au distribution from the RBS measurements. Good He stopping predictions from the SRIM code have been validated experimentally in Si [33], Au [34], SiC [35,36] and a few oxides [37][38][39], which provide some confidence of using the SRIM predicted He stopping in SrTiO 3 .…”
Section: Large Deviation Between Srim Predicted Profiles and The Expementioning
confidence: 67%
“…Since the SRIM predicted electronic stopping power for He in SrTiO 3 is used to convert energy differences, accurate electronic stopping power values are essential to the reliable determination of both damage profile and Au distribution from the RBS measurements. Good He stopping predictions from the SRIM code have been validated experimentally in Si [33], Au [34], SiC [35,36] and a few oxides [37][38][39], which provide some confidence of using the SRIM predicted He stopping in SrTiO 3 .…”
Section: Large Deviation Between Srim Predicted Profiles and The Expementioning
confidence: 67%
“…Since the stopping power prediction from SRIM is based on fitting with experimental data, it usually provides reasonable predictions. In the past few years, improvements in SRIM have focused on the stopping powers for light ions [13][14][15]. The experimental stopping powers for heavy ions contain far more uncertainties than for light ions.…”
Section: Srim Results Compared With Sims Datamentioning
confidence: 99%
“…distribution. This may be attributed to the fact that SRIM slightly overestimates stopping power, and consequently predicts lower ranges than the experimental ones [19,20].…”
Section: Results For Er: Te Glassmentioning
confidence: 88%
“…The relatively large differences between the positions of the boundaries obtained by spectroscopic ellipsometric simulations, and that of the peak of the N + distribution cannot be attributed exclusively to the fact that SRIM overestimates stopping power [18,19]. It may be due to the convergence problems we experienced in the spectroscopic ellipsometric simulations.…”
mentioning
confidence: 99%