## Abstract This article describes a new approach in developing computational driver models in vehicle simulations for evaluating intelligent driving support systems (IDSSs). As IDSSs become more intelligent and provide active safety controls, a more comprehensive understanding of a driver's cognit
Fast mixed modeling of doping for statistical process/device simulation
โ Scribed by Andrzej Pfitzner; Adam Lejman
- Publisher
- Elsevier Science
- Year
- 2003
- Tongue
- English
- Weight
- 252 KB
- Volume
- 6
- Category
- Article
- ISSN
- 1369-8001
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โฆ Synopsis
A hybrid method of diffusion process modeling has been developed for statistical simulation purpose. This mixed modeling approach combines numerical solutions with especially fitted analytical approximations. The numerical solutions are used as reference data to create semi-empirical approximations. This analytical model is used in the Monte-Carlo loop. Thus, high accuracy and good computational efficiency can be obtained. An application of the hybrid approach to post-implantation annealing is presented in the paper.
๐ SIMILAR VOLUMES
Current advanced CMOS source/drain engineering involves the use of amorphizing implants with 3D geometry. Upon annealing, the induced transient enhanced diffusion (TED) can only be accurately predicted if the amorphized region is correctly modeled, as well as the formation and evolution of extended