Published in
Royal Society of Chemistry, Journal of Materials Chemistry C Materials for optical and electronic devices, 46(10), p. 17602-17610, 2022
DOI: 10.1039/d2tc02335k
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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
Journal article published in 2022 by
Rongyu Lin 
,
Zhiyuan Liu,
Peng Han,
Ronghui Lin,
Yi Lu ,
Haicheng Cao,
Xiao Tang ,
Chuanju Wang,
Vishal Khandelwal,
Xiangliang Zhang,
Xiaohang Li
,
Zhiyuan Liu,
Peng Han,
Ronghui Lin,
Yi Lu ,
Haicheng Cao,
Xiao Tang ,
Chuanju Wang,
Vishal Khandelwal,
Xiangliang Zhang,
Xiaohang Li
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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.