Enhancement of Emission from Lanthanide Dopants in Perovskite Nanocrystals through a Temperature-Dependent Phase Transformation of the Perovskite Lattice-Reference-Cited by-同舟云学术

Enhancement of Emission from Lanthanide Dopants in Perovskite Nanocrystals through a Temperature-Dependent Phase Transformation of the Perovskite Lattice

Published:2022-08-31 Issue:36 Volume:126 Page:15247-15253
ISSN:1932-7447
Container-title:The Journal of Physical Chemistry C
language:en
Short-container-title:J. Phys. Chem. C

Author:

Chang Woo Je¹,Irgen-Gioro Shawn²,Vong Albert F.¹,Kim Hacksung³⁴^ORCID,Mara Michael W.²⁴^ORCID,Chen Lin X.²⁴^ORCID,Weiss Emily A.¹²^ORCID

Affiliation:

1. Department of Materials Science and Engineering, Northwestern University, Evanston, Illinois 60208, United States

2. Department of Chemistry, Northwestern University, Evanston, Illinois 60208, United States

3. Center for Catalysis and Surface Science, Northwestern University, Evanston, Illinois 60208, United States

4. Chemical Sciences and Engineering Division, Argonne National Laboratory, Lemont, Illinois 60439, United States

Funder

Kwanjeong Educational Foundation

Basic Energy Sciences

Northwestern University

National Science Foundation

State of Illinois

Publisher

American Chemical Society (ACS)

Subject

Surfaces, Coatings and Films,Physical and Theoretical Chemistry,General Energy,Electronic, Optical and Magnetic Materials

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jpcc.2c03189

Reference26 articles.

1. Lanthanide-Doped Luminescent Nanomaterials

2. Doping Lanthanide into Perovskite Nanocrystals: Highly Improved and Expanded Optical Properties

3. Lanthanide doping in metal halide perovskite nanocrystals: spectral shifting, quantum cutting and optoelectronic applications

4. Picosecond Quantum Cutting Generates Photoluminescence Quantum Yields Over 100% in Ytterbium-Doped CsPbCl3 Nanocrystals

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Ytterbium-Doped Lead–Halide Perovskite Nanocrystals: Synthesis, Near-Infrared Emission, and Open-Source Machine Learning Model for Prediction of Optical Properties;Nanomaterials;2023-02-16