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Bulk and Thin Film Synthesis of Compositionally Variant Entropy-stabilized Oxides
Published on: May 29, 2018
Designing 3d metal oxides: selecting optimal density functionals for strongly correlated materials.
Ina Østrøm1, Md Anower Hossain1, Patrick A Burr2
1School of Photovoltaic and Renewable Energy Engineering, UNSW, Kensington, NSW 2052, Australia. b.hoex@unsw.edu.au.
Selecting the right exchange-correlation (XC) functional is crucial for accurate Density Functional Theory (DFT) studies of transition metal oxides (TMOs). The PBE0-1/5 functional shows exceptional promise for modeling these materials.
Area of Science:
- Materials Science
- Computational Chemistry
- Solid-State Physics
Background:
- Transition metal oxides (TMOs) possess valuable physicochemical properties, making them ideal for technological applications.
- Density functional theory (DFT) is a powerful tool for understanding TMO properties and optimizing materials.
- Accurate description of localized 3d-electrons in TMOs necessitates careful selection of exchange-correlation (XC) functionals.
Purpose of the Study:
- To benchmark various density functionals (DFs) for describing 3d TMO properties.
- To compare DFT predictions with experimental magneto-electro-optical data.
- To identify the most reliable XC functional for TMO electronic structure calculations.
Main Methods:
- Systematic evaluation of DFs from GGA to RSH using the def2-TZVP basis set.
- Analysis of electronic, optical, magnetic, and structural properties.
- Assessment of computational cost and spin contamination.
Main Results:
- The study reveals the varying accuracy and efficiency of different XC functionals.
- PBE0-1/5 emerged as the top-performing functional for 3d TMOs.
- Key properties like band structure, density of states, and magnetic moments were analyzed.
Conclusions:
- The choice of XC functional significantly impacts the accuracy of DFT in TMOs.
- PBE0-1/5 offers a trustworthy description of the ground-state electron structure for 3d TMOs.
- This work guides the selection of XC functionals for future materials science modeling.
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