Improving the Solubility of Mn and Suppressing the Oxygen Vacancy Density in Zn0.98Mn0.02O Nanocrystals via Octylamine Treatment
文献类型：期刊论文
| 作者 | Cheng, Y; Hao, WC; Xu, HZ; Yu, YX; Wang, TM; Chen, R; Zhang, LJ; Du, Y; Wang, XL; Dou, SX;张林娟 |
| 刊名 | ACS APPLIED MATERIALS & INTERFACES
 |
| 出版日期 | 2012 |
| 卷号 | 4期号:9页码:4470-4475 |
| 关键词 | co-doping oxygen vacancy solubility XAFS |
| 英文摘要 | Zn0.98Mn0.02O nanocrystals were synthesized by the wet chemical route and were treated with different content of octylamine. The environment around Mn and the defect type and concentration were characterized by photoluminescence, Raman, X-ray photoelectron spectroscopy, and X-ray absorption fine structure. It is found that N codoping effectively enhances the solubility of Mn substituting Zn via reducing donor binding energy of impurity by the orbital hybridization between the N-acceptor and Mn-donor. On the other hand, the O atoms released from MnO6 and the N ions from octylamine occupy the site of oxygen vacancies and result in reduction of the concentration of oxygen vacancies in Zn0.98Mn0.02O nanocrystals. |
| 学科主题 | Science & Technology - Other Topics; Materials Science |
| 收录类别 | SCI |
| WOS记录号 | WOS:000309099800008 |
| 公开日期 | 2016-05-03 |
| 源URL | [http://ir.ihep.ac.cn/handle/311005/224251]  |
| 专题 | 高能物理研究所_多学科研究中心 |
| 推荐引用方式 GB/T 7714 | Cheng, Y,Hao, WC,Xu, HZ,et al. Improving the Solubility of Mn and Suppressing the Oxygen Vacancy Density in Zn0.98Mn0.02O Nanocrystals via Octylamine Treatment[J]. ACS APPLIED MATERIALS & INTERFACES,2012,4(9):4470-4475. |
| APA | Cheng, Y.,Hao, WC.,Xu, HZ.,Yu, YX.,Wang, TM.,...&Dou, SX；张林娟.(2012).Improving the Solubility of Mn and Suppressing the Oxygen Vacancy Density in Zn0.98Mn0.02O Nanocrystals via Octylamine Treatment.ACS APPLIED MATERIALS & INTERFACES,4(9),4470-4475. |
| MLA | Cheng, Y,et al."Improving the Solubility of Mn and Suppressing the Oxygen Vacancy Density in Zn0.98Mn0.02O Nanocrystals via Octylamine Treatment".ACS APPLIED MATERIALS & INTERFACES 4.9(2012):4470-4475. |
入库方式： OAI收割
来源：高能物理研究所
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