1998
DOI: 10.2172/650277
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Boron-enhanced diffusion of boron from ultralow-energy boron implantation

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Cited by 11 publications
(14 citation statements)
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“…Therefore, interstitials emitted from defects in the layer are likely to be recaptured despite the proximity to the surface, and large defects can be formed. These large and stable defects could be the zig-zag ͕113͖ defects showed by Agarwal et al 11 We obtain a superlinear increase in the duration of Si interstitial defects with the implantation dose, as is observed in the experiments too.…”
Section: Bˆ113‰ Defects From Low Energy and High Dose Implantssupporting
confidence: 85%
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“…Therefore, interstitials emitted from defects in the layer are likely to be recaptured despite the proximity to the surface, and large defects can be formed. These large and stable defects could be the zig-zag ͕113͖ defects showed by Agarwal et al 11 We obtain a superlinear increase in the duration of Si interstitial defects with the implantation dose, as is observed in the experiments too.…”
Section: Bˆ113‰ Defects From Low Energy and High Dose Implantssupporting
confidence: 85%
“…11 For a 5 keV Si implant followed by an anneal at 750°C, the formation of ͕113͖ defects is seen in the experiments in spite of the proximity to the surface. Moreover, a superlinear increase in their size and stability is observed when going from implantation doses of 10 14 -3ϫ10 14 ions/cm 2 .…”
Section: Bˆ113‰ Defects From Low Energy and High Dose Implantsmentioning
confidence: 84%
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“…Moreover, for ultra-low-energy implants, the processes that occur at the surface during annealing, influence the dopant diffusion and the electrical activation. Recently it has been reported that a silicon boride layer located at the silicon surface, injecting interstitials during post-implantation annealing, causes enhanced diffusion of B. Agarwal et al [4] named the phenomenon ''boride enhanced diffusion'' (BED) effect. In this paper, we have tested a diffusion simulation for ultra-low-energy (500 eV) implanted boron in silicon and proposed a new boron diffusion model.…”
Section: Introductionmentioning
confidence: 99%