用于固体氧化物燃料电池的电解质 LaGaO3 的结构和电气特性研究。

IF 2.1 4区 化学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Anshika Dubey, Brijesh Kumar Pandey, Pragya Mishra, Priyanshu Srivastava
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引用次数: 0

摘要

背景:固体氧化物燃料电池(SOFC)等电化学装置可将燃料的化学能直接转化为电能。尽管基于 YSZ 电解质的传统 SOFC 在实验室和商业规模上都得到了广泛应用,但开发替代离子导电电解质对于提高 SOFC 在较低工作温度下的性能至关重要。在这项工作中,我们对 Sr- 和 Mg 掺杂的高级氧化物离子导体的特性进行了深入的计算分析:方法:我们使用 DFT 技术研究了系统的电气和结构特性以及掺杂的影响。GII 值和 LaGaO3 形成能分别用于研究热力学稳定性和结构稳定性。理论研究与数据进行了验证,以确保计算模型的准确性。研究表明,掺杂 Sr- 和 Mg 的 LaGaO3 的性质发生了理想的变化。这项 DFT 研究揭示了影响 LaGaO3 电解质结构和电子特性的基本机制,并对锶和镁共掺的协同效应进行了深入研究。这些知识对于合理设计和开发更稳定、更高效的固体氧化物燃料电池至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Investigation of structural and electrical properties of electrolyte LaGaO3 for solid oxide fuel cell

Context

Electrochemical devices such as solid oxide fuel cells (SOFCs) allow the direct transformation of fuel’s chemical energy into electrical power. Even though YSZ electrolyte-based conventional SOFCs are widely used in both laboratories and on a commercial scale, developing alternative ion-conducting electrolytes is crucial for enhancing SOFC performance at lower operating temperatures. In this work, we conducted a thorough computational analysis on the characteristics of Sr- and Mg-doped superior oxide ion conductors.

Method

We have used the DFT technique to examine the system’s electrical and structural characteristics and the impact of doping. The GII value and LaGaO3 formation energy are used to investigate thermodynamical and structural stability, respectively. Theoretical investigations are validated against data to ensure the accuracy of the computational model. The research shows that the properties of Sr- and Mg-doped LaGaO3 have changed in a desirable way. This DFT study sheds light on the underlying mechanisms that affect the structural and electronic properties of LaGaO3 electrolytes and offers a thorough investigation of the synergistic effects of strontium and magnesium co-doping. The knowledge acquired is critical for the logical design and development of more stable and efficient solid oxide fuel cells.

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来源期刊
Journal of Molecular Modeling
Journal of Molecular Modeling 化学-化学综合
CiteScore
3.50
自引率
4.50%
发文量
362
审稿时长
2.9 months
期刊介绍: The Journal of Molecular Modeling focuses on "hardcore" modeling, publishing high-quality research and reports. Founded in 1995 as a purely electronic journal, it has adapted its format to include a full-color print edition, and adjusted its aims and scope fit the fast-changing field of molecular modeling, with a particular focus on three-dimensional modeling. Today, the journal covers all aspects of molecular modeling including life science modeling; materials modeling; new methods; and computational chemistry. Topics include computer-aided molecular design; rational drug design, de novo ligand design, receptor modeling and docking; cheminformatics, data analysis, visualization and mining; computational medicinal chemistry; homology modeling; simulation of peptides, DNA and other biopolymers; quantitative structure-activity relationships (QSAR) and ADME-modeling; modeling of biological reaction mechanisms; and combined experimental and computational studies in which calculations play a major role.
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