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The Evolution of Silica Nanoparticle-polyester Coatings on Surfaces Exposed to Sunlight
Published on: October 11, 2016
Microstructure evolution and kinetics of B-site nanoparticle exsolution from an A-site-deficient perovskite surface:
Guang Jiang1, Fuyao Yan, Shuaibin Wan
1National Key Laboratory for Precision Hot Processing of Metals, MIIT Key Laboratory of Advanced Structure-Function Integrated Materials and Green Manufacturing Technology, School of Materials Science and Engineering, Harbin Institute of Technology, Harbin 150001, China. hitzhang@hit.edu.cn yanmufu@hit.edu.cn.
Abstract:
Segregation-exsolution of B-site catalytic dopants as nanoparticles from A-site-deficient perovskite (A1-xBO3-δ) surfaces has been actively used in recent years to promote the activity and durability of perovskite oxides towards efficient fuel oxidation and water splitting. The mechanistic understandings are currently gained from equilibrium thermodynamics, such as atomic scale density functional theory calculations, in terms of segregation energy, interaction energy and elastic energy. Herein, we have developed a micro-scale phase-field model framework that describes the kinetics and microstructure evolutions of the B-site segregation and nanoparticle exsolution from the A1-xBO3-δ surface. The model was derived in a thermodynamically consistent manner by employing a ternary regular-solution free-energy functional and Cahn-Hilliard kinetic equations. The key hypothesis is that the B-site nanoparticle is exsolved by a spinodal decomposition once the surface region of A1-xBO3-δ is driven to the spinodal region of the free-energy functional via B-site segregation to the surface and/or via expansion of the chemical spinodal region. The effects of oxygen partial pressure (or electric polarization), B-site supersaturation (or A-site deficiency), and segregation energy have been explicitly investigated, and the results obtained agree qualitatively with the experimental observations. The proposed model can serve as a multi-scale bridge that ties the atomic-scale understandings to the micro-scale observations and has the potential to be used for the design and optimization of nano-architectures of A1-xBO3-δ materials.
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