DocumentCode
407552
Title
Soft computing tools for the simulation of efficient nanodevice models
Author
Sarkar, Subir Kumar ; Biswas, Auup Kumar ; Choudhury, Sushobhan
Author_Institution
Dept. of Electron. & Telecommun. Eng., Jadavpur Univ., Kolkata, India
fYear
2003
fDate
16-18 Dec. 2003
Firstpage
25
Lastpage
30
Abstract
The purpose of this article is to predict the optimized values of the system parameters for efficient nanodevice models incorporating the relevant scattering mechanisms and carrier distribution function. Both Genetic algorithm and artificial neural network have been employed here to predict the optimized system parameters for getting the desired nano device models.
Keywords
III-V semiconductors; S-parameters; gallium arsenide; genetic algorithms; nanotechnology; neural nets; semiconductor device models; semiconductor quantum wires; GaAs; artificial neural network; carrier distribution function; genetic algorithm; nanodevice models; scattering mechanisms; simulation; soft computing tools; system parameters; Artificial neural networks; Computational modeling; Genetic algorithms; Nanobioscience; Nanoscale devices; Optical materials; Optical scattering; Predictive models; Semiconductor materials; Wires;
fLanguage
English
Publisher
ieee
Conference_Titel
Electron Devices and Solid-State Circuits, 2003 IEEE Conference on
Print_ISBN
0-7803-7749-4
Type
conf
DOI
10.1109/EDSSC.2003.1283476
Filename
1283476
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