Application of machine learning to sporadic experimental data for understanding epitaxial strain relaxation-Reference-Cited by-同舟云学术

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Application of machine learning to sporadic experimental data for understanding epitaxial strain relaxation

Published:2022-09-28 Issue:1 Volume:106 Page:780-788
ISSN:0002-7820
Container-title:Journal of the American Ceramic Society
language:en
Short-container-title:J Am Ceram Soc.

Author:

Oh Jin Young¹,Shin Dongwon²^ORCID,Choi Woo Seok¹^ORCID

Affiliation:

1. Department of Physics Sungkyunkwan University Suwon Republic of Korea

2. Materials Science and Technology Division Oak Ridge National Laboratory Oak Ridge Tennessee USA

Publisher

Wiley

Subject

Materials Chemistry,Ceramics and Composites

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jace.18789

Reference52 articles.

1. Strain-induced tuning of the electronic Coulomb interaction in 3d transition metal oxide perovskites

2. Strain effects in low-dimensional transition metal oxides

3. Surface symmetry-breaking and strain effects on orbital occupancy in transition metal perovskite epitaxial films

4. Strain engineering and epitaxial stabilization of halide perovskites

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Complex oxide thin films: A review on pulsed laser epitaxy growth;Current Applied Physics;2024-12

2. Symmetry Engineering of Epitaxial Hf_0.5Zr_0.5O₂ Ultrathin Films;ACS Applied Materials & Interfaces;2024-05-14

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