Enhanced conductivity and stability of Co0.98CuxMn2.02−xO4 ceramics with dual phases and twin structures

Journal of Advanced Ceramics(2023)

引用 0|浏览2
暂无评分
摘要
Semiconductor materials with heterogeneous interfaces and twin structures generally demonstrate a higher concentration of carriers and better electrical stability. A variety of Cu-doped Co0.98CuxMn2.02−xO4 (0 ≤ x ≤ 0.5) negative temperature coefficient (NTC) ceramics with dual phases and twin structures were successfully prepared in this study. Rietveld refinement indicates that the content of a cubic spinel phase increases with increasing Cu content. The addition of Cu can promote grain growth and densification. Atomic-level structural characterization reveals the evolution of twin morphology from large lamellae with internal fine lamellae (LIT lamellae) to large lamellae without internal fine lamellae (L lamellae) and the distribution of twin boundary defects. First-principles calculations reveal that the dual phases and twin structures have lower oxygen-vacancy formation energy than those in the case of the pure tetragonal and cubic spinel, thereby enhancing the transmission of carriers. Additionally, the three-dimensional charge-density difference shows that metal ions at the interface lose electrons and dwell in high valence states, thereby enhancing electrical stability of the NTC ceramics. Furthermore, the additional Cu ions engage in electron-exchange interactions with Mn and Co ions, thereby reducing resistivity. In comparison to previous Cu-containing systems, the Co0.98CuxMn2.02−xO4 series exhibit superior stability (aging value ≤ 2.84%), tunable room-temperature resistivity (ρ), and material constant (B) value (17.5 Ω·cm ≤ ρ ≤ 7325 Ω·cm, 2836 K ≤ B ≤ 4315 K). These discoveries lay a foundation for designing and developing new NTC ceramics with ultra-high performance.
更多
查看译文
关键词
negative temperature coefficient (ntc) ceramics,cu-containing spinel,high electrical stability,twin structure,first-principles calculation,electron-exchange interaction
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要