Interpretable machine learning-assisted screening of perovskite oxides-Reference-Cited by-同舟云学术

Interpretable machine learning-assisted screening of perovskite oxides

Published:2024 Issue:6 Volume:14 Page:3909-3922
ISSN:2046-2069
Container-title:RSC Advances
language:en
Short-container-title:RSC Adv.

Author:

Zhao Jie¹^ORCID,Wang Xiaoyan²,Li Haobo³,Xu Xiaoyong³^ORCID

Affiliation:

1. College of Chemical Engineering, Nanjing Tech University, Nanjing, Jiangsu 211816, China

2. School of Computer Science, Nanjing Audit University, Nanjing, Jiangsu 211815, China

3. School of Chemical Engineering, The University of Adelaide, Adelaide, SA 5005, Australia

Abstract

Interpretable machine learning is applied to screen potential perovskite oxides from virtual perovskite-type combinations generated by a constraint satisfaction problem technique.

Funder

Natural Science Foundation of Jiangsu Province

Publisher

Royal Society of Chemistry (RSC)

Link

http://pubs.rsc.org/en/content/articlepdf/2024/RA/D3RA08591K

Reference63 articles.

1. Recent Advances in Perovskite‐Type Oxides for Energy Conversion and Storage Applications

2. Perovskite Oxide Based Materials for Energy and Environment-Oriented Photocatalysis

3. Strongly correlated perovskite fuel cells

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5. Review of perovskite-structure related cathode materials for solid oxide fuel cells

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