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首页> 外文期刊>Materials >Optimization of the GaAs-on-Si Substrate for Microelectromechanical Systems (MEMS) Sensor Application
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Optimization of the GaAs-on-Si Substrate for Microelectromechanical Systems (MEMS) Sensor Application

机译:用于微机电系统(MEMS)传感器的GaAs-on-Si衬底的优化

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摘要

Resonant Tunneling Diodes (RTD) and High Electron Mobility Transistor (HEMT) based on GaAs, as the piezoresistive sensing element, exhibit extremely high sensitivity in the MEMS sensors based on GaAs. To further expand their applications to the fields of MEMS sensors based on Si, we have studied the optimization of the GaAs epitaxy layers on Si wafers. Matching superlattice and strain superlattice were used, and the surface defect density can be improved by two orders of magnitude. Combing with the Raman spectrum, the residual stress was characterized, and it can be concluded from the experimental results that the residual stress can be reduced by 50%, in comparison with the original substrate. This method gives us a solution to optimize the epitaxy GaAs layers on Si substrate, which will also optimize our future process of integration RTD and HEMT based on GaAs on Si substrate for the MEMS sensor applications.
机译:基于GaAs的谐振隧穿二极管(RTD)和高电子迁移率晶体管(HEMT)作为压阻式传感元件,在基于GaAs的MEMS传感器中显示出极高的灵敏度。为了进一步将其应用扩展到基于Si的MEMS传感器领域,我们研究了Si晶片上GaAs外延层的优化。使用匹配的超晶格和应变超晶格,可以将表面缺陷密度提高两个数量级。结合拉曼光谱,对残余应力进行了表征,从实验结果可以得出,与原始衬底相比,残余应力可以降低50%。这种方法为我们提供了一种优化Si衬底上外延GaAs层的解决方案,这还将优化我们未来基于MEMS传感器应用的Si衬底上GaAs的RTD和HEMT集成工艺。

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