纳米颗粒
胶体金
催化作用
Atom(片上系统)
纳米技术
材料科学
碳纤维
电子显微镜
显微镜
化学
计算机科学
物理
有机化学
光学
复合材料
复合数
嵌入式系统
作者
Yi Wang,Fan Zhang,Mengru Wang,Xiaoling Mou,Shuhui Liu,Zheng Jiang,Wei Liu,Ronghe Lin,Yunjie Ding
标识
DOI:10.1002/anie.202214166
摘要
Identification of the roles of different active sites is vital for the rational design of catalysts. We present a cutting-edge strategy to discern the contributions of different single-atom gold species and nanoparticles in 1,3-butadiene hydrogenation, through coupling of advanced spectroscopic techniques, electron microscopy-based automated image analyses, and steady-state and kinetic studies. While all the carbon-hosted single gold atoms display negligible initial activity, the in situ-evolved gold nanoparticles are highly active. Full metal-species quantification is realized by combining electron-microscopy-based atom recognition statistics and deep-learning-driven nanoparticle segmentation algorithm, allowing the structure-activity correlations for the hybrid catalysts containing different Au architectures to be established. Surface exposure density of Au nanoparticles, as revealed by electron-microscopy-based statistics, is revealed as a new and reliable activity descriptor.
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