PROJECT TITLE :

Locally non-uniform oxidation in self-terminating thermal oxidation assisted wet etching technique for AlGaN/GaN heterostructure

ABSTRACT:

The oxidation mechanism in self-terminating wet etching technique with thermal oxidation of AlGaN layer followed by etching in KOH resolution is investigated. Spike-shape remnants of oxidised AlGaN are observed at the initial stage of wet etching in KOH resolution, which may be completely etched away after enough etching time. Transmission electron microscope/energy dispersive spectroscopy analysis indicates the existence of crystalline AlGaN within the remnants. Finally, a attainable explanation is given that the oxide channels from AlGaN surface towards AlGaN/GaN interface generated throughout thermal oxidation are firstly etched away at the initial stage of KOH wet etching, then after enough time these remnants with non-c axis crystal orientation surfaces exposed to KOH resolution may be fully etched away leaving GaN layer beneath unaffected, that realises self-terminating etching.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here


PROJECT TITLE :Image Co-Saliency Detection Via Locally Adaptive Saliency Map Fusion - 2017ABSTRACT:Co-saliency detection aims at discovering the common and salient objects in multiple pictures. It explores not solely intra-image
PROJECT TITLE :Online Damping Ratio Prediction Using Locally Weighted Linear RegressionABSTRACT:During this study, a regionally weighted linear regression (LWLR) methodology is proposed to predict damping ratio of a dominant mode
PROJECT TITLE :Incidence Angle Correction of SAR Sea Ice Data Based on Locally Linear MappingABSTRACT:Radar backscatter variations that occur as a result of of incidence angle effects constrain the applying of Scanning Synthetic
PROJECT TITLE :A Note on Delay Coordinates for Locally Observable Analytic SystemsABSTRACT:During this short note, the problem of regionally reconstructing the state of a nonlinear system is studied. To avoid computational difficulties
PROJECT TITLE :Synaptic Weight States in a Locally Competitive Algorithm for Neuromorphic Memristive HardwareABSTRACT:Memristors promise a suggests that for prime-density neuromorphic nanoscale architectures that leverage in situ

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry