Informatics-based learning of oxygen vacancy ordering principles in oxygen-deficient perovskites
Yongjin Shin, Kenneth R. Poeppelmeier, James M. Rondinelli

TL;DR
This study uses informatics and first-principles calculations to uncover principles governing oxygen vacancy ordering in perovskites, enabling the design of new stable vacancy patterns for tailored material properties.
Contribution
It introduces a novel algorithm for generating stable oxygen vacancy structures and elucidates key factors influencing their stability in oxygen-deficient perovskites.
Findings
Coordination preferences of transition metals influence vacancy stability.
Polyhedral rotational modes reduce elastic instabilities.
Vacancy channels tend to form along low-index directions.
Abstract
Ordered oxygen vacancies (OOVs) in perovskites can exhibit long-range order and may be used to direct materials properties through modifications in electronic structures and broken symmetries. Based on the various vacancy patterns observed in previously known compounds, we explore the ordering principles of OOVs in oxygen-deficient perovskite oxides with stoichiometry to identify other OOV variants. We performed first-principles calculations to assess the OOV stability on a dataset of 50 OOV structures generated from our bespoke algorithm. The algorithm employs uniform planar vacancy patterns on (111) pseudocubic perovskite layers and the approach proves effective for generating stable OOV patterns with minimal computational loads. We find as expected that the major factors determining the stability of OOV structures include coordination preferences of transition…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvancements in Solid Oxide Fuel Cells · Catalysis and Oxidation Reactions · Magnetic and transport properties of perovskites and related materials
