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A machine learning study on superlattice electron blocking layer design for AlGaN deep ultraviolet light-emitting diodes using the stacked XGBoost/LightGBM algorithm

Rongyu Lin, Zhiyuan Liu, Peng Han, Ronghui Lin, Yi Lu, Haicheng Cao, Xiao Tang, Chuanju Wang, Vishal Khandelwal, Xiangliang Zhang, Xiaohang Li

2022Journal of Materials Chemistry C26 citationsDOIOpen Access PDF

Abstract

A stacked XGBoost/LightGBM model was developed to predict and systematically investigate various high-performance SL-EBLs and to suggest a simpler and experimentally realizable low Al-content SL-EBL design.

Topics & Concepts

SuperlatticeMaterials scienceUltravioletDiodeOptoelectronicsLayer (electronics)ElectronBlocking (statistics)Light-emitting diodeAlgorithmComputer scienceNanotechnologyPhysicsQuantum mechanicsComputer networkGaN-based semiconductor devices and materialsGa2O3 and related materialsSemiconductor Quantum Structures and Devices
A machine learning study on superlattice electron blocking layer design for AlGaN deep ultraviolet light-emitting diodes using the stacked XGBoost/LightGBM algorithm | Litcius