A Machine Learning‐Assisted Approach to a Rapid and Reliable Screening for Mechanically Stable Perovskite‐Based Materials-Reference-Cited by-同舟云学术

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A Machine Learning‐Assisted Approach to a Rapid and Reliable Screening for Mechanically Stable Perovskite‐Based Materials

Published:2022-11-04 Issue:1 Volume:33 Page:2210374
ISSN:1616-301X
Container-title:Advanced Functional Materials
language:en
Short-container-title:Adv Funct Materials

Author:

Jaafreh Russlan¹^ORCID,Sharan Abhishek²,Sajjad Muhammad²,Singh Nirpendra²³,Hamad Kotiba¹

Affiliation:

1. School of Advanced Material Science and Engineering Sungkyunkwan University Suwon 16419 South Korea

2. Department of Physics Khalifa University of Science and Technology Abu Dhabi 127788 United Arab Emirates

3. Center for Catalysis and Separation (CeCaS) Khalifa University of Science and Technology Abu Dhabi 127788 United Arab Emirates

Publisher

Wiley

Subject

Electrochemistry,Condensed Matter Physics,Biomaterials,Electronic, Optical and Magnetic Materials

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/adfm.202210374

Reference66 articles.

1. Review on Recent Progress of All‐Inorganic Metal Halide Perovskites and Solar Cells

2. Structure of Spinel

3. A Study on AB2X5 Compounds (A: K, In, Tl; B: Sr, Sn, Pb; X: Cl, Br, I)

4. Computational Study of Halide Perovskite-Derived A2BX6 Inorganic Compounds: Chemical Trends in Electronic Structure and Structural Stability

5. Unveiling the Structural Descriptor of A3B2X9Perovskite Derivatives toward X‐Ray Detectors with Low Detection Limit and High Stability

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