ABO3 Perovskites’ Formability Prediction and Crystal Structure Classification using Machine Learning-Reference-Cited by-同舟云学术

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ABO3 Perovskites’ Formability Prediction and Crystal Structure Classification using Machine Learning

Published:2022-02-26 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Innovations in Science, Engineering and Technology (ICISET)
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Author:

Ahmad Minhaj Uddin¹,Akib Abdur Rahman¹,Raihan Md. Mohsin Sarker²,Shams Abdullah Bin³

Affiliation:

1. Islamic University of Technology,Electrical and Electronic Engineering,Dhaka,Bangladesh

2. Khulna University of Engineering and Technology,Biomedical Engineering,Khulna,Bangladesh

3. University of Toronto,Electrical and Computer Engineering,Toronto,Ontario,Canada,M5S 3G4

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9775773/9775774/09775906.pdf?arnumber=9775906

Reference32 articles.

1. Crystal structure classification in ABO3 perovskites via machine learning

2. Structural stability and formability of ABO3-type perovskite compounds

3. From local explanations to global understanding with explainable AI for trees

4. Stability Challenges for Perovskite Solar Cells

5. Accelerated discovery of stable lead-free hybrid organic-inorganic perovskites via machine learning

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1. Exploring the Classification of Crystal Structure of Perovskite Oxide Using Machine Learning and Deep Learning;2024 International Conference on Communication, Computer Sciences and Engineering (IC3SE);2024-05-09

2. An ensemble deep learning approach for air quality estimation in Delhi, India;Earth Science Informatics;2024-01-19

3. An ensemble deep learning approach for air quality estimation in Delhi, India;2023-11-22

4. Understanding the ligand-assisted reprecipitation of CsPbBr3 nanocrystals via high-throughput robotic synthesis approach;Matter;2023-09

5. Machine Learning-Aided Band Gap Engineering of BaZrS₃ Chalcogenide Perovskite;ACS Applied Materials & Interfaces;2023-04-04

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