DocumentCode
1146410
Title
Design and comparison of advanced semiconductor devices using computer experiments: application to APDs and HEMTs
Author
Brennan, Kevin F. ; Park, Duke H. ; Wang, Yang
Author_Institution
Sch. of Electr. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
Volume
37
Issue
3
fYear
1990
fDate
3/1/1990 12:00:00 AM
Firstpage
536
Lastpage
547
Abstract
A computer experimental procedure that is useful for studying the behavior of advanced semiconductor devices that contain nonlinear effects is discussed. The approach draws on previous work in modeling avalanche photodiodes (APDs) and high-electron-mobility transistors (HEMTs) based on an ensemble Monte Carlo model. An overall approach to modeling these devices that emphasizes the built-in controls and the importance of bootstrapping the model is presented. The approach is not limited only to APDs and HEMTs, however, because virtually any semiconductor device can be successfully modeled following this procedure. As a means of illustrating the usefulness of this technique, previous device calculations are reviewed and new results are presented. Computer experiments that either compare the performances of different device designs or permit the optimization of an existing structure are presented. Specifically, the optimal operating point of a GaAs/AlGaAs-doped quantum-well APD is bracketed
Keywords
CAD; III-V semiconductors; Monte Carlo methods; aluminium compounds; avalanche photodiodes; electronic engineering computing; gallium arsenide; high electron mobility transistors; indium compounds; semiconductor device models; APD; GaAs-AlGaAs doped quantum well; HEMT; InGaAs-AlGaAs-GaAs transistor; Monte Carlo simulation; advanced semiconductor devices; avalanche photodiode modelling; bootstrapping; computer experiments; ensemble Monte Carlo model; high-electron-mobility transistors; nonlinear effects; optimal operating point; optimization; semiconductor; Application software; Avalanche photodiodes; Boltzmann equation; Computer applications; HEMTs; MODFETs; Microscopy; Monte Carlo methods; Physics; Semiconductor devices;
fLanguage
English
Journal_Title
Electron Devices, IEEE Transactions on
Publisher
ieee
ISSN
0018-9383
Type
jour
DOI
10.1109/16.47755
Filename
47755
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