Machine Learning Accelerated Recovery of the Cubic Structure in Mixed-Cation Perovskite Thin Films-Reference-Cited by-同舟云学术

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Machine Learning Accelerated Recovery of the Cubic Structure in Mixed-Cation Perovskite Thin Films

Published:2020-03-10 Issue:7 Volume:32 Page:2998-3006
ISSN:0897-4756
Container-title:Chemistry of Materials
language:en
Short-container-title:Chem. Mater.

Author:

Ali Adnan¹^ORCID,Park Heesoo¹^ORCID,Mall Raghvendra²,Aïssa Brahim¹,Sanvito Stefano³,Bensmail Halima²,Belaidi Abdelhak¹,El-Mellouhi Fedwa¹^ORCID

Affiliation:

1. Qatar Environment and Energy Research Institute, Hamad Bin Khalifa University, Qatar Foundation, P.O. Box 34110, Doha, Qatar

2. Qatar Computing Research Institute, Hamad Bin Khalifa University, Qatar Foundation, P.O. Box 34110, Doha, Qatar

3. School of Physics, AMBER and CRANN Institute, Trinity College Dublin, Dublin 2, Ireland

Funder

Qatar National Research Fund

Qatar Environment and Energy Research Institute, Qatar Foundation

Publisher

American Chemical Society (ACS)

Subject

Materials Chemistry,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.chemmater.9b05342

Reference55 articles.

1. Resolving Weak Light of Sub-picowatt per Square Centimeter by Hybrid Perovskite Photodetectors Enabled by Noise Reduction

2. Low trap-state density and long carrier diffusion in organolead trihalide perovskite single crystals

3. The Controlling Mechanism for Potential Loss in CH3NH3PbBr3 Hybrid Solar Cells

4. Gas induced conversion of hybrid perovskite single crystal to single crystal for great enhancement of their photoelectric properties

5. Detection of X-ray photons by solution-processed lead halide perovskites

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