Emil T. S. Kjær, Olivia Aalling-Frederiksen, Dr. Long Yang, Nancy K. Thomas, Dr. Mikkel Juelsholt, Prof. Simon J. L. Billinge, Dr. Kirsten M. Ø. Jensen
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引用次数: 0
摘要
本月的封面邀请是Kirsten M. Ø的团体。丹麦哥本哈根大学的Jensen和美国哥伦比亚大学的Simon J. L. Billinge。封面图片显示了金属氧化物纳米颗粒形成过程的草图,其中纳米晶氧化物由例如多金属氧酸盐的碎片形成。使用对分布函数分析的原位x射线全散射研究可以为形成过程提供新的见解,因为它提供了反应所有阶段的结构信息-从溶液中的前体离子,非晶或纳米结构的中间体到最终的晶体材料。在这里,它展示了如何使用结构挖掘和简单的计算工具自动分析这些数据。阅读他们的研究论文全文:10.1002/cmtd.202200034。
In Situ Studies of the Formation of Tungsten and Niobium Oxide Nanoparticles: Towards Automated Analysis of Reaction Pathways from PDF Analysis using the Pearson Correlation Coefficient
Invited for this month's cover are the groups of Kirsten M. Ø. Jensen at the University of Copenhagen (Denmark) and Simon J. L. Billinge at Columbia University (US). The cover picture shows a sketch of the formation process of metal oxide nanoparticles, where nanocrystalline oxides form from fragments of e.g., polyoxometalates. In situ X-ray total scattering studies with Pair Distribution Function analysis can give new insights into the formation process, as it provides structural information on all stages of the reaction – from precursor ions in solution, over amorphous or nanostructured intermediates to the final crystalline material. Here, it is show how the analysis of such data can be automated using structure mining and simple computational tools. Read the full text of their Research Article at 10.1002/cmtd.202200034.