Investigation on the electroluminescence 2D microscopic localization intensity distribution of GaN-based flip-chip green mini-LEDs
Abstract
Based on time-gated electroluminescence, a method to characterize the localized intensity distribution (LID) of flip-chip green mini-LEDs is proposed. Through the integration of RC circuit theory and carrier dynamics, the underlying physical mechanism of the double-exponential model is elucidated. Subsequent to analyzing the light emission behavior of LEDs during rising and falling edge phases, microscopic localized intensity is innovatively quantified and assessed via multi-metric joint analysis. The LID metrics align with radiative recombination efficiency, especially in the mesa region, validating its consistency with fundamental physical principles. Data reveal relatively high LID in the central mesa between the anode and the cathode, moderate LID in partial sidewalls, and low LID near the cathode and most sidewall regions. Correlating these microscopic features with process parameters offers insights for passivation optimization, homogeneous current injection, and low-damage etching, providing a 2D analytical framework to boost the performance and enhance the reliability of mini-LEDs.
Article Details
Journal Info
Journal of Applied Physics
American Institute of Physics
Authors (8)
Chenming Zhong
Jiangxi Provincial Key Laboratory of Multidimensional Intelligent Perception and Control, School of Information Engineering, Jiangxi University of Science and Technology 1 , Ganzhou 341000,
Peihong Fu
Jiangxi Provincial Key Laboratory of Multidimensional Intelligent Perception and Control, School of Information Engineering, Jiangxi University of Science and Technology 1 , Ganzhou 341000,
Congren Liu
Jiangxi Provincial Key Laboratory of Multidimensional Intelligent Perception and Control, School of Information Engineering, Jiangxi University of Science and Technology 1 , Ganzhou 341000,
Yunfei Niu
Jiangxi Provincial Key Laboratory of Multidimensional Intelligent Perception and Control, School of Information Engineering, Jiangxi University of Science and Technology 1 , Ganzhou 341000,
Weijie Guo
Department of Molecular Biosciences
Yijun Lu
Zhong Chen
Zhihua Xiong