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20 results on '"Kazuki Shitara"'

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1. Hydride Conductivity in an Anion-Ordered Fluorite Structure LnHO with an Enlarged Bottleneck

2. Selective Hydride Occupation in BaVO3–xHx (0.3 ≤ x ≤ 0.8) with Face- and Corner-Shared Octahedra

3. Substantial role of charge transfer on the diffusion mechanism of interstitial elements in α-titanium: A First-principles study

4. On Hydride Diffusion in Transition Metal Perovskite Oxyhydrides Investigated via Deuterium Exchange

5. First-Principles Selection of Solute Elements for Er-Stabilized Bi2O3 Oxide-Ion Conductor with Improved Long-Term Stability at Moderate Temperatures

6. Effect of oxygen vacancy segregation in Au or Pt/oxide hetero-interfaces on electronic structures

7. Kinetically Stabilized Cation Arrangement in Li 3 YCl 6 Superionic Conductor during Solid‐State Reaction

8. Precipitation and Distribution Behavior of In Situ-Formed TiB Whiskers in Ti64 Composites Fabricated by Selective Laser Melting

9. Acicular microstructure formation and strengthening behavior of Ti-4%Fe alloys by Zr addition

10. Quantitative strengthening evaluation of powder metallurgy Ti–Zr binary alloys with high strength and ductility

11. Mechanisms of tensile strengthening and oxygen solid solution in single β-phase Ti-35 at.%Ta+O alloys

12. ZnTaO2N: Stabilized High-Temperature LiNbO3-type Structure

13. Computational design of stable and highly ion-conductive materials using multi-objective bayesian optimization: Case studies on diffusion of oxygen and lithium

14. Tensile property enhancement by oxygen solutes in selectively laser melted titanium materials fabricated from pre-mixed pure Ti and TiO2 powder

15. Chemical Pressure-Induced Anion Order–Disorder Transition in LnHO Enabled by Hydride Size Flexibility

16. Polarization fluctuations in the perovskite-structured ferroelectric AgNbO3

17. Exploring a potential energy surface by machine learning for characterizing atomic transport

18. Prediction model of band gap for inorganic compounds by combination of density functional theory calculations and machine learning techniques

19. A machine learning-based selective sampling procedure for identifying the low energy region in a potential energy surface: a case study on proton conduction in oxides

20. Cytotoxicity of stoichiometric hydroxyapatites with different crystallite sizes

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