Leroy Eyring Center for Solid State Science, Arizona State University, Tempe, USA.
Virtual Nanoscience Laboratory, CSIRO, Parkville, Australia.
Nanoscale. 2016 May 19;8(20):10548-52. doi: 10.1039/c6nr01888b.
Detonation nanodiamond particles (DND) contain highly-stable nitrogen-vacancy (N-V) centers, making it important for quantum-optical and biotechnology applications. However, due to the small particle size, the N-V concentrations are believed to be intrinsically very low, spawning efforts to understand the formation of N-V centers and vacancies, and increase their concentration. Here we show that vacancies in DND can be detected and quantified using simulation-aided electron energy loss spectroscopy. Despite the small particle size, we find that vacancies exist at concentrations of about 1 at%. Based on this experimental finding, we use ab initio calculations to predict that about one fifth of vacancies in DND form N-V centers. The ability to directly detect and quantify vacancies in DND, and predict the corresponding N-V formation probability, has a significant impact to those emerging technologies where higher concentrations and better dispersion of N-V centres are critically required.
爆轰纳米金刚石颗粒(DND)含有高度稳定的氮空位(N-V)中心,这使其在量子光学和生物技术应用中非常重要。然而,由于颗粒尺寸较小,据信 N-V 浓度本质上非常低,因此人们努力了解 N-V 中心和空位的形成,并提高它们的浓度。在这里,我们展示了可以使用模拟辅助电子能量损失谱来检测和量化 DND 中的空位。尽管颗粒尺寸很小,但我们发现空位的浓度约为 1 原子%。基于这一实验发现,我们使用从头算计算预测 DND 中的大约五分之一的空位形成 N-V 中心。能够直接检测和量化 DND 中的空位,并预测相应的 N-V 形成概率,这对那些新兴技术具有重大影响,这些技术需要更高浓度和更好分散的 N-V 中心。