4.5 Article

A theoretical study of the influence of dopant concentration on the hydration properties of yttrium-doped barium cerate

期刊

SOLID STATE IONICS
卷 204, 期 -, 页码 27-34

出版社

ELSEVIER
DOI: 10.1016/j.ssi.2011.10.008

关键词

Density functional theory; Perovskite; Hydration; Thermodynamics

资金

  1. National Science Foundation Renewable Energy Materials Research Science and Engineering Center (REMRSEC) [DMR-0820518]
  2. National Science Foundation [CBET-0828765]
  3. Golden Energy Computing Organization at the Colorado School of Mines
  4. National Renewable Energy Laboratory
  5. U.S. Department of Energy, Office of Basic Energy Sciences [DE-AC02-06CH11357]
  6. Direct For Mathematical & Physical Scien
  7. Division Of Materials Research [0820518] Funding Source: National Science Foundation
  8. Directorate For Engineering
  9. Div Of Chem, Bioeng, Env, & Transp Sys [0828765] Funding Source: National Science Foundation

向作者/读者索取更多资源

Yttrium-doped barium cerate (BCY) exhibits among the highest proton conductivities of perovskite materials, but a detailed understanding of BCY hydration properties and their relationship to material structure is not yet available. In this paper, density functional theory (DFT) was used to investigate how dopant concentration influences the hydration properties of BCY. Consistent with experimental results, the hydration enthalpy was found to become more favorable with increasing dopant concentration. A Bader charge analysis confirmed that increasing the doping level increases oxygen basicity, stabilizing protonic defects. A statistical thermodynamic model was developed to predict BCY hydration entropy. The model is shown to be consistent with previously reported experimental results, indicating that increased dopant concentrations lead to more negative hydration entropies. Finally, the in silico enthalpy data and a priori derived entropy model was used to develop an equation that describes the extent of material hydration, which compared well to experimental data. This work demonstrates a method to predict hydration behavior in this class of ionic conducting materials using solely first-principles techniques. (C) 2011 Elsevier B.V. All rights reserved.

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