Machine Learning‐Assisted Microfluidic Synthesis of Perovskite Quantum Dots-Reference-Cited by-同舟云学术

Machine Learning‐Assisted Microfluidic Synthesis of Perovskite Quantum Dots

Published:2022-10-20 Issue:1 Volume:4 Page:2200230
ISSN:2699-9293
Container-title:Advanced Photonics Research
language:en
Short-container-title:Advanced Photonics Research

Author:

Chen Gaoyu¹,Zhu Xia¹,Xing Chenyu¹,Wang Yongkai¹,Xu Xiangxing¹,Bao Jianchun¹,Huang Jinghan²,Zhao Yurong²,Wang Xuan²,Zhou Xiuqing²,Du Xiuli²,Wang Xun³^ORCID

Affiliation:

1. Jiangsu Key Laboratory of Biofunctional Materials School of Chemistry and Materials Science Nanjing Normal University Nanjing 210046 P. R. China

2. School of Mathematical Sciences Nanjing Normal University Nanjing 210046 P. R. China

3. Key Lab of Organic Optoelectronics and Molecular Engineering Department of Chemistry Tsinghua University Beijing 100084 P. R. China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Pharmacology (medical),Complementary and alternative medicine,Pharmaceutical Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/adpr.202200230

Reference67 articles.

1. High-Efficiency Perovskite Solar Cells

2. Pseudo‐Halide Perovskite Solar Cells

3. Indium doped CsPbI3 films for inorganic perovskite solar cells with efficiency exceeding 17%

4. Broad-band lead halide perovskite quantum dot single-mode lasers

5. CsPbBr3 Perovskite Quantum Dot Vertical Cavity Lasers with Low Threshold and High Stability

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