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Surface Morphology of GaAs/In0.3Ga0.7As in an Elastic Field of Static Point Defects 被引量:2

Surface Morphology of GaAs/In0.3Ga0.7As in an Elastic Field of Static Point Defects
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摘要 The surface morphology InGaAs layers with In composition of 0.3 on GaAs (001) substrates are simulated by the phase field method. We investigate the influence of the strain field induced by static point defects on surface morphology of the InGaAs thin film. Our simulation demonstrates that the rms roughness of the thin film surface is strongly dependent on the density and magnitude of the randomly distributed point defects. Point defects near the thin film surface can produce a relatively large change of the surface morphology. The influences of thin film thickness on the surface morphology with different defect distributions are illustrated in the simulations. Additionally, a combination of experiment and theory is used to examine the influence of the defect density and magnitude on the surface morphology and roughness. The surface morphology InGaAs layers with In composition of 0.3 on GaAs (001) substrates are simulated by the phase field method. We investigate the influence of the strain field induced by static point defects on surface morphology of the InGaAs thin film. Our simulation demonstrates that the rms roughness of the thin film surface is strongly dependent on the density and magnitude of the randomly distributed point defects. Point defects near the thin film surface can produce a relatively large change of the surface morphology. The influences of thin film thickness on the surface morphology with different defect distributions are illustrated in the simulations. Additionally, a combination of experiment and theory is used to examine the influence of the defect density and magnitude on the surface morphology and roughness.
出处 《Chinese Physics Letters》 SCIE CAS CSCD 2014年第2期92-96,共5页 中国物理快报(英文版)
基金 Supported by the National Basic Research Program of China, the National Natural Science Foundation of China under Grant No 51002052, the Key Project in Science and Technology of Guangdong Province under Grant No 2011A080801018, and the China Postdoctoral Science Foundation under Grant No 2013M531840.
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