학술논문

Prediction of Anomalous Variation in GaN-based Chemical Sensors
Document Type
Conference
Source
2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS) Control, Automation and Information Sciences (ICCAIS), 2022 11th International Conference on. :397-405 Nov, 2022
Subject
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Chemical sensors
Semiconductor device measurement
Correlation
Current measurement
Chemical and biological sensors
Sensors
Wide band gap semiconductors
aluminium gallium nitride
chemical sensors
HEMTs
ion sensing
materials testing
reference-electrode free
semiconductor device stability
Language
ISSN
2475-7896
Abstract
We present the result of investigations into anomalous drift behavior in AlGaN/GaN-based chemical sensors; a problem that must be addressed in such sensors to achieve their great promise as a portable sensor technology. Leakage current measurements undertaken on AlGaN/GaN-based sensor devices were fitted with a parallel diode model. Some sensors were then destructively tested using phosphoric acid etchant to decorate the defects, allowing the density of conductive screw dislocations to be quantified. A strong correlation between diode saturation current and defect density was then established. The remaining devices were encapsulated as working sensors and left in an ionic solution to determine the normalized root mean square error as a measure of drift. This also exhibited a strong correlation with the saturation current, thus establishing a link between semiconductor defect density, leakage current, and uncorrelated drift over time for AlGaN/GaN chemical sensors.