2003
DOI: 10.1063/1.1627461
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Prediction of boron transient enhanced diffusion through the atom-by-atom modeling of extended defects

Abstract: The modeling of the atom-by-atom growth of extended defects is coupled to the diffusion equations of boron by transferring the free interstitial supersaturation calculated with a defect model into a process simulator. Two methods to achieve this coupling (equilibrium method and fully coupled method, respectively) are presented and tested against a variety of experimental conditions. They are first applied to a transient enhanced diffusion experiment carried out on a structure containing several B delta-doped l… Show more

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Cited by 16 publications
(7 citation statements)
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“…14 Because of the technological relevance, a number of experi-mental works in the field have allowed the characterization of simple and extended defects resulting from implantation and annealing. [15][16][17][18][19][20] Theoretical models have been developed to describe the observed defect evolution [21][22][23] and its correlation with dopant diffusion and clustering. [24][25][26][27][28][29][30][31] As the lateral dimensions of the MOS transistor channel are scaled down, the source/drain extension junction depth must be proportionately reduced in order to avoid shortchannel effects.…”
Section: Introductionmentioning
confidence: 99%
“…14 Because of the technological relevance, a number of experi-mental works in the field have allowed the characterization of simple and extended defects resulting from implantation and annealing. [15][16][17][18][19][20] Theoretical models have been developed to describe the observed defect evolution [21][22][23] and its correlation with dopant diffusion and clustering. [24][25][26][27][28][29][30][31] As the lateral dimensions of the MOS transistor channel are scaled down, the source/drain extension junction depth must be proportionately reduced in order to avoid shortchannel effects.…”
Section: Introductionmentioning
confidence: 99%
“…This directly shows that the concentration of Si self-interstitials supersaturated by {311} self-interstitial clusters is going down to the thermal equilibrium values toward the surface (10). Although such a gradient of Si self-interstitials toward the surface was reported by the measurement using B marker layers (11), the present work reports the direct observation of the enhanced Si self-diffusion using Si isotope SLs. We simulated the Si isotope profiles in Fig.…”
Section: Si Superlatticesmentioning
confidence: 55%
“…The I 0 concentration has a value of C I ‫ء‬ ϳ 10 14 cm −3 at the initial stage ͑t =1 s͒ with a flat profile in the bulk, whereas the value is going down to the C I eq toward the surface, which enhances the Si selfdiffusion at the deeper region ͑Ͼ40 nm͒ where the excess I is produced by the 28 Si + self-implantation. Although such an I supersaturation gradient between the implanted region and the surface by the measurement using B marker layers was reported, 24,25 the present work reports the direct observation of the enhanced Si self-diffusion using Si isotope SLs. We also observed the I supersaturation gradient for annealing at 800°C ͑not shown in figures͒.…”
Section: A I 0 Contribution In the Intrinsic Conditionsmentioning
confidence: 57%