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Updated: Dec 26, 2025

06:44
Tuning Oxide Properties by Oxygen Vacancy Control During Growth and Annealing
Published on: June 9, 2023
3.6K
Colossal oxygen vacancy formation at a fluorite-bixbyite interface.
Dongkyu Lee1,2, Xiang Gao1,3, Lixin Sun4
1Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA.
Nature Communications
|March 15, 2020
Summary
This study introduces an oxide nanobrush architecture to create high-density interfacial oxygen vacancies. This method precisely controls oxygen vacancies for advanced energy and neuromorphic computing technologies.
Area of Science:
- Materials Science
- Solid State Chemistry
- Nanotechnology
Background:
- Oxygen vacancies in complex oxides are crucial for information and energy applications.
- Existing methods for creating oxygen vacancies primarily focus on bulk materials.
- The potential of ionic interfaces for generating oxygen vacancies remains underexplored.
Purpose of the Study:
- To explore the use of ionic interfaces for creating oxygen vacancies.
- To design and investigate an oxide nanobrush architecture for high-density interfacial oxygen vacancies.
- To demonstrate the application of such interfaces in advanced electronic devices.
Main Methods:
- Fabrication of an oxide nanobrush architecture with a (111) heterointerface between fluorite CeO2 and bixbyite Y2O3.
- Utilizing local structure and chemical analyses.
- Performing theoretical calculations to understand defect formation and properties.
Main Results:
- A well-defined heterointerface between CeO2 and Y2O3 was created.
- Charge modulation between Y3+ and Ce4+ ions was observed due to valence mismatch.
- Spontaneous removal of over 10% of oxygen atoms occurred without lattice degradation.
- High-density interfacial oxygen vacancies were successfully generated.
Conclusions:
- The oxide nanobrush architecture effectively creates high-density interfacial oxygen vacancies.
- This platform enables precise control and transport of oxygen vacancies.
- The findings are critical for developing ionotronic and memristive devices for energy and neuromorphic computing.
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