Solid-liquid and solid-vapor equilibrium of Ga-In-As-Sb system and artificial neural network prediction

The GaInAsSb solid-liquid and solid-vapor equilibrium are studied by experimental measurement and computer prediction. The compositions of Ga1−XInXAs1−YSbY epilayers are determined by electroprobe microanalysis. Artificial neural networks trained using experimental data have been used to predict the...

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Bibliographic Details
Published in:Journal of applied physics 1995-07, Vol.78 (2), p.897-899
Main Authors: Wei, Wu, Luming, Yan, Guangyu, Wei, Ruiwu, Peng
Format: Article
Language:English
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Summary:The GaInAsSb solid-liquid and solid-vapor equilibrium are studied by experimental measurement and computer prediction. The compositions of Ga1−XInXAs1−YSbY epilayers are determined by electroprobe microanalysis. Artificial neural networks trained using experimental data have been used to predict the composition of GaInAsSb epilayers grown by liquid-phase epitaxy. The artificial neural networks are also very useful for predicting the composition range of GaInAsSb grown by metalorganic chemical vapor deposition.
ISSN:0021-8979
1089-7550
DOI:10.1063/1.360280