Exploring new approaches towards the formability of mixed-ion perovskites by DFT and machine learning (vol 21, pg 1078, 2019)

被引:0
作者
Park, Heesoo [1 ]
Mall, Raghvendra [2 ]
Alharbi, Fahhad H. [1 ,3 ]
Sanvito, Stefano [4 ]
Tabet, Nouar [1 ,3 ]
Bensmail, Halima [2 ]
El-Mellouhi, Fedwa [1 ]
机构
[1] Hamad Bin Khalifa Univ, Qatar Environm & Energy Res Inst, POB 34110, Doha, Qatar
[2] Hamad Bin Khalifa Univ, Qatar Comp Res Inst, Doha, Qatar
[3] Hamad Bin Khalifa Univ, Coll Sci & Engn, Doha, Qatar
[4] Trinity Coll Dublin, AMBER & CRANN Inst, Sch Phys, Dublin 2, Ireland
关键词
D O I
10.1039/c9cp90013f
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
引用
收藏
页码:2821 / 2821
页数:1
相关论文
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[1]   Exploring new approaches towards the formability of mixed-ion perovskites by DFT and machine learning [J].
Park, Heesoo ;
Mall, Raghvendra ;
Alharbi, Fahhad H. ;
Sanvito, Stefano ;
Tabet, Nouar ;
Bensmail, Halima ;
El-Mellouhi, Fedwa .
PHYSICAL CHEMISTRY CHEMICAL PHYSICS, 2019, 21 (03) :1078-1088