𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Multidimensional geometric modeling for 3D TCAD

✍ Scribed by P. Regli; K. Lamboglia; G. Garretón; M. Neeracher; M. Westermann; N. Strecker; W. Fichtner

Publisher
Elsevier Science
Year
1996
Tongue
English
Weight
672 KB
Volume
34
Category
Article
ISSN
0167-9317

No coin nor oath required. For personal study only.

✦ Synopsis

This article gives an overview of our current state of the art in generating 3D geometry and doping representations for complex semiconductor devices. Focusing on the multidimensional aspects, we describe how -starting from the mask layout and the standard process representation (SPR)-the 3D device geometry and doping distribution is built by assembling simulations of different dimensionality.

📜 SIMILAR VOLUMES

Angled implants for controlling gate–sou
Angled implants for controlling gate–source/drain extension: A TCAD modeling study
✍ Sunderraj Thirupapuliyur; Amir Al-Bayati; Amitabh Jain; Abhilash Mayur 📂 Article 📅 2005 🏛 Elsevier Science 🌐 English ⚖ 204 KB

TCAD process simulations are carried out on NMOS and PMOS to study the effect of high tilt in source/drain extension (SDE) implants and millisecond, non-melt laser anneals on junction depth and gate-SDE overlap. High tilt implants along with millisecond laser anneals are proposed as a solution for f

3D modeling for sagittal suture
3D modeling for sagittal suture
✍ Yasuhito Oota; Kenzo Ono; Sasuke Miyazima 📂 Article 📅 2006 🏛 Elsevier Science 🌐 English ⚖ 242 KB

Sagittal suture has a complex pattern which is formed by collision of edges of left and right growing parietal bones. There is fibrous tissue between the left and the right parietal bones, where an osteoblast becomes a basis of ossification. We simulate the growth and the collision of the bone by us

A stochastic technique for multidimensio
A stochastic technique for multidimensional granulation modeling
✍ Justin A. Gantt; Edward P. Gatzke 📂 Article 📅 2006 🏛 American Institute of Chemical Engineers 🌐 English ⚖ 633 KB

## Abstract Recent granulation modeling research has produced compelling evidence that simple one‐dimensional (1‐D) models will not suffice when describing the dynamics of particle growth. During the mixing process particles gradually become more saturated due to the loss of air in particles result