通过统计和宏观方法表征水辅助生长单壁碳纳米管森林的84%催化剂活性。
84% catalyst activity of water-assisted growth of single walled carbon nanotube forest characterization by a statistical and macroscopic approach.
作者信息
Futaba Don N, Hata Kenji, Namai Tatsunori, Yamada Takeo, Mizuno Kohei, Hayamizu Yuhei, Yumura Motoo, Iijima Sumio
机构信息
Research Center for Advanced Carbon Materials, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba 305-8565, Japan.
出版信息
J Phys Chem B. 2006 Apr 20;110(15):8035-8. doi: 10.1021/jp060080e.
We propose a statistical and macroscopic analysis to estimate the catalyst activity of water-assisted growth (super-growth) of single-walled nanotubes (SWNT) and to characterize SWNT forests. The catalyst activity was estimated to be 84% (+/-6%), the highest ever reported. The SWNT forest was found to be a very sparse material where SWNTs represent only 3.6% of the total volume. This structural sparseness is believed to play a critical role in achieving highly efficient growth.
我们提出一种统计和宏观分析方法，以估计单壁纳米管（SWNT）水辅助生长（超生长）的催化剂活性，并对SWNT森林进行表征。据估计，催化剂活性为84%（±6%），这是迄今报道的最高值。研究发现，SWNT森林是一种非常稀疏的材料，其中SWNT仅占总体积的3.6%。这种结构稀疏性被认为在实现高效生长中起着关键作用。
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