Predictive Design of Hybrid Improper Ferroelectric Double Perovskite Oxides-Reference-Cited by-同舟云学术

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Predictive Design of Hybrid Improper Ferroelectric Double Perovskite Oxides

Published:2023-12-28 Issue:2 Volume:36 Page:682-693
ISSN:0897-4756
Container-title:Chemistry of Materials
language:en
Short-container-title:Chem. Mater.

Author:

Gayathri Palanichamy¹,Ghosh Saurabh¹^ORCID,Ghosh Ayana²^ORCID

Affiliation:

1. Department of Physics and Nanotechnology, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur 603203, Tamil Nadu, India

2. Computational Sciences and Engineering Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, United States

Funder

Oak Ridge National Laboratory

Publisher

American Chemical Society (ACS)

Subject

Materials Chemistry,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.chemmater.3c02067

Reference97 articles.

1. A Machine Learning Approach for the Prediction of Formability and Thermodynamic Stability of Single and Double Perovskite Oxides

2. Synthesizable Double Perovskite Oxide Search via Machine Learning and High‐Throughput Computational Screening

3. Rationalizing Perovskite Data for Machine Learning and Materials Design

4. Machine learning lattice parameters of monoclinic double perovskites

5. Machine Learning Augmented Discovery of Chalcogenide Double Perovskites for Photovoltaics

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1. Design of magnetic polar double-double perovskite oxides through cation ordering;Physical Review B;2024-05-28

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