Prediction of boron transient enhanced diffusion through the atom-by-atom modeling of extended defects

2003 ◽  
Vol 94 (12) ◽  
pp. 7520 ◽  
Author(s):  
E. Lampin ◽  
F. Cristiano ◽  
Y. Lamrani ◽  
A. Claverie ◽  
B. Colombeau ◽  
...  
Keyword(s):  
Extended Defects ◽  
Enhanced Diffusion ◽  
Transient Enhanced Diffusion

Modeling of Extended Defects in Silicon

1996 ◽  
Vol 438 ◽  
Author(s):  
M. E. Law ◽  
K. S. Jones ◽  
S. K. Earles ◽  
A. D. Lilak ◽  
J-W. Xu
Keyword(s):  
Low Temperature ◽  
Experimental Work ◽  
Quantitative Model ◽  
Extended Defects ◽  
Form Complex ◽  
Extended Defect ◽  
Enhanced Diffusion ◽  
Transient Enhanced Diffusion ◽  
Short Time ◽  
Defect Behavior

AbstractTransient Enhanced Diffusion (TED) is one of the biggest modeling challenges present in predicting scaled technologies. Damage from implantation of dopant ions changes the diffusivities of the dopants and precipitates to form complex extended defects. Developing a quantitative model for the extended defect behavior during short time, low temperature anneals is a key to explaining TED. This paper reviews some of the modeling developments over the last several years, and discusses some of the challenges that remain to be addressed. Two examples of models compared to experimental work are presented and discussed.

Fundamental Modeling of Transient Enhanced Diffusion through Extended Defect Evolution

1997 ◽  
Vol 469 ◽  
Author(s):  
A. H. Gencer ◽  
S. Chakravarthi ◽  
I. Clejan ◽  
S. T. Dunham
Keyword(s):  
Point Defect ◽  
Extended Defects ◽  
Dislocation Loops ◽  
Extended Defect ◽  
Enhanced Diffusion ◽  
Fundamental Model ◽  
Transient Enhanced Diffusion ◽  
Defect Evolution

Prediction of transient enhanced diffusion (TED) requires modeling of extended defects of many types, such as {311} defects, dislocation loops, boron-interstitial clusters, arsenic precipitates, etc. These extended defects not only form individually, but they also interact with each other through changes in point defect and solute concentrations. We have developed a fundamental model which can account for the behavior of a broad range of extended defects, as well as their interactions with each other. We have successfully applied and parameterized our model to a range of systems and conditions, some of which are presented in this paper.

Moment-based Modeling of Extended Defects for Simulation of TED: What Level of Complexity is Necessary?

1998 ◽  
Vol 532 ◽  
Author(s):  
Alp H. Gencer ◽  
Scott T. Dunham
Keyword(s):  
Predictive Modeling ◽  
Extended Defects ◽  
Extended Defect ◽  
Experimental Knowledge ◽  
Enhanced Diffusion ◽  
Transient Enhanced Diffusion ◽  
Dopant Deactivation

ABSTRACTAccurate modeling of extended defect kinetics is of primary importance for predictive modeling of transient enhanced diffusion (TED). Our previously developed model accurately accounts for extended defects and can be used predictively for TED. Using some experimental knowledge about the distribution of the extended defect population we can simplify our model. We demonstrate that reducing the number of solution variables by one doesn't affect the predictive capabilities of the model for extended defect kinetics and TED. However, some caution has to be used when applying the same principles to modeling of dopant deactivation.

Modeling of Extended Defects in Silicon

1996 ◽  
Vol 439 ◽  
Author(s):  
M. E. Law ◽  
K. S. Jones ◽  
S. K. Earles ◽  
A. D. Lilak ◽  
J- W. Xu
Keyword(s):  
Low Temperature ◽  
Experimental Work ◽  
Quantitative Model ◽  
Extended Defects ◽  
Form Complex ◽  
Extended Defect ◽  
Enhanced Diffusion ◽  
Transient Enhanced Diffusion ◽  
Short Time ◽  
Defect Behavior

AbstractTransient Enhanced Diffusion (TED) is one of the biggest modeling challenges present in predicting scaled technologies. Damage from implantation of dopant ions changes the diffusivities of the dopants and precipitates to form complex extended defects. Developing a quantitative model for the extended defect behavior during short time, low temperature anneals is a key to explaining TED. This paper reviews some of the modeling developments over the last several years, and discusses some of the challenges that remain to be addressed. Two examples of models compared to experimental work are presented and discussed.

scholarly journals Enhanced Diffusion of Dopants in Vacancy Supersaturation Produced by MeV Implantation

1997 ◽  
Vol 469 ◽  
Author(s):  
V. C. Venezia ◽  
T. E. Haynes ◽  
A. Agarwal ◽  
H. -J. Gossmann ◽  
D. J. Eaglesham
Keyword(s):  
Surface Layer ◽  
Surface Region ◽  
Silicon On Insulator ◽  
Rich Region ◽  
Near Surface ◽  
Enhanced Diffusion ◽  
Float Zone ◽  
Transient Enhanced Diffusion

ABSTRACTThe diffusion of Sb and B markers has been studied in vacancy supersaturations produced by MeV Si implantation in float zone (FZ) silicon and bonded etch-back silicon-on-insulator (BESOI) substrates. MeV Si implantation produces a vacancy supersaturated near-surface region and an interstitial-rich region at the projected ion range. Transient enhanced diffusion (TED) of Sb in the near surface layer was observed as a result of a 2 MeV Si+, 1×1016/cm2, implant. A 4× larger TED of Sb was observed in BESOI than in FZ silicon, demonstrating that the vacancy supersaturation persists longer in BESOI than in FZ. B markers in samples with MeV Si implant showed a factor of 10× smaller diffusion relative to markers without the MeV Si+ implant. This data demonstrates that a 2 MeV Si+ implant injects vacancies into the near surface region.

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