Computational Materials Science2022,Vol.2096.DOI:10.1016/j.commatsci.2022.111361

Perovskite CsPbBr3 decorating PbS nanocrystals for efficient near-infrared light-emitting diodes: A first-principles study

Zhang, Lingxia Yang, Yibin Xiao, Ye Huang, Le Zhang, Menglong
Computational Materials Science2022,Vol.2096.DOI:10.1016/j.commatsci.2022.111361

Perovskite CsPbBr3 decorating PbS nanocrystals for efficient near-infrared light-emitting diodes: A first-principles study

Zhang, Lingxia 1Yang, Yibin 2Xiao, Ye 2Huang, Le 2Zhang, Menglong3
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作者信息

  • 1. Huaihua Univ
  • 2. Guangdong Univ Technol
  • 3. South China Normal Univ
  • 折叠

Abstract

Assembling near-infrared emitting materials with another semiconductor material is a promising approach to improve the performance of NIR light-emitting devices. Here we performed a computational and theoretical study on feasibility of improving performance PbS based near-infrared emitting devices by perovskite CsPbBr3 decorating. Physical mechanism of improved light-emitting efficiency is revealed by electronic structure calculations. The type-I band alignment of CsPbBr3/PbS interface facilitates the transferring of electrons and holes in CsPbBr3 quantum dots to PbS active material, which is confirmed by the charge density difference results. The rather small lattice mismatch and analogous octahedral framework ensure an almost perfect contact and little density of gap states at CsPbBr3/PbS interface. The improved light absorption in CsPbBr3/PbS heterostructured nanocrystals ensures an enhanced near-infrared light-emitting in PbS. Our work provides a theoretical understanding on the physical mechanism of improved near-infrared emitting performance in CsPbBr3 decorated PbS based light-emitting devices, and suggests a promising route to design near-infrared emitting devices with high performance.

Key words

Near-infrared emitting/CsPbBr3/PbS interface/Type-I band alignment/Carrier injection/Electron-hole recombination/SOLAR CONCENTRATOR/QUANTUM/ENERGY/EMISSION

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出版年

2022
Computational Materials Science

Computational Materials Science

EISCI
ISSN:0927-0256
被引量4
参考文献量47
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