Data driven high quantum yield halide perovskite phosphors design and fabrication

被引：0

作者：

Mai, Haoxin ^{[1
]}

Wen, Xiaoming ^{[1
,2
]}

Li, Xuying ^{[1
]}

Dissanayake, Nethmi S.L. ^{[3
]}

Sun, Xueqian ^{[3
]}

Lu, Yuerui ^{[3
]}

Le, Tu C. ^{[4
]}

Russo, Salvy P. ^{[5
]}

Chen, Dehong ^{[1
]}

Winkler, David A. ^{[6
,7
,8
]}

Caruso, Rachel A. ^{[1
]}

机构：

[1] Applied Chemistry and Environmental Science, School of Science, STEM College, RMIT University, Melbourne,VIC,3001, Australia

[2] School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Hawthorn,VIC,3122, Australia

[3] School of Engineering, College of Engineering, Computing and Cybernetics, The Australian National University, Canberra,ACT,2601, Australia

[4] School of Engineering, STEM College, RMIT University, GPO Box 2476, Melbourne,VIC,3001, Australia

[5] ARC Centre of Excellence in Exciton Science, School of Science, RMIT University, Melbourne,VIC,3000, Australia

[6] Monash Institute of Pharmaceutical Sciences, Monash University, Parkville,VIC,3052, Australia

[7] School of Biochemistry and Chemistry, La Trobe University, Kingsbury Drive, Bundoora,VIC,3042, Australia

[8] School of Pharmacy, University of Nottingham, Nottingham,NG7 2RD, United Kingdom

来源：

Materials Today | / 74卷

关键词：

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Aluminum compounds - Fabrication - Light emitting diodes - Machine learning - Perovskite - Phosphors - Quantum yield

引用

页码：12 / 21

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