Application of genetic algorithm to determine the optimized system parameters of GaAs quantum wells for better high-frequency performance under hot electron condition-Reference-Cited by-同舟云学术

Application of genetic algorithm to determine the optimized system parameters of GaAs quantum wells for better high-frequency performance under hot electron condition

Published:2003-01 Issue: Volume:325 Page:189-194
ISSN:0921-4526
Container-title:Physica B: Condensed Matter
language:en
Short-container-title:Physica B: Condensed Matter

Author:

Sarkar Subir Kumar,Moi Akshaya,Puttamadappa C.,De A.K.,Naskar M.K.

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Condensed Matter Physics,Electronic, Optical and Magnetic Materials

Reference18 articles.

1. Two-dimensional growth of InSb thin films on GaAs(111)A substrates

2. Alloy decomposition and surface instabilities in thin films

3. Misfit accommodation by compliant substrates

4. Study of Balance Equations for Hot-Electron Transport in an Arbitrary Energy Band (III)

5. Temperature-dependent micro-photoluminescence of individual CdSe self-assembled quantum dots

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