功能性无机材料的计算辅助识别
Matthew S Dyer1, Christopher Collins, Darren Hodgeman
1Department of Chemistry, University of Liverpool, Crown Street, Liverpool L69 7ZD, UK.
概括
研究人员开发了一种计算方法来设计复杂的无机材料. 这种方法确定了一种适用于固体氧化物燃料电池阴极的新型氧化物材料.
科学领域:
- 无机化学 无机化学
- 材料科学 材料科学 材料科学
- 计算材料设计设计 计算材料设计
背景情况:
- 设计具有多样性结构的复杂无机材料是具有挑战性的.
- 功能性材料的特性通常与其组成模块的化学物质有关.
- 计算方法可以帮助识别新型材料结构.
研究的目的:
- 介绍一种用于识别具有多个原子类型和几何形状的复杂无机材料的计算方法.
- 证明该方法在发现新功能材料方面的能力.
- 通过识别潜在的固体氧化物燃料电池阴极材料来验证该方法.
主要方法:
- 从扩展模块组装候选结构,使用化学上现实的原子环境.
- 根据它们的化学和结构性质对候选结构进行排名.
- 将计算识别与实验验证相结合.
主要成果:
- 一种新的复杂氧化物,Y{2.24) Ba{2.28) Ca{3.48) Fe{7.44) Cu{0.56) O21,通过计算识别并实验分离.
- 鉴定到的物质具有一个大型单元细胞 (超过60安格斯特罗姆) 拥有148个原子.
- 该材料具有适用于固体氧化物燃料电池阴极应用的性能.
结论:
- 提出的计算方法对于设计复杂的无机材料是有效的.
- 这种方法有助于发现具有特定功能的新材料.
- 鉴定的氧化物显示出先进能源应用的潜力,例如固体氧化物燃料电池.
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