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首页> 外文期刊>Carbon: An International Journal Sponsored by the American Carbon Society >On-substrate growth of single-walled carbon nanotube networks by an 'all-laser' processing route
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On-substrate growth of single-walled carbon nanotube networks by an 'all-laser' processing route

机译:通过“全激光”工艺路线在单壁碳纳米管网络上进行衬底生长

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摘要

We report on the process latitude of an "all-laser" approach for the controlled growth of single-walled-carbon-nanotube (SWCNT) mats at predefined locations on silicon substrates. Unlike the conventional laser ablation methods where the SWCNTs are produced in the soot form, from the concomitant ablation of a graphite target loaded with metal catalyst, the "all-laser" process proceeds in two consecutive and independent steps. Indeed, the same KrF pulsed laser is first used to deposit at room temperature, the Co/Ni catalyst nanoparticles (NPs) onto the substrates - of which size and surface density can be controlled by adjusting the number of laser ablation pulses - and subsequently to grow SWCNTs onto the Co/Ni NPs sites, from the laser ablation of a pure graphite target. The grown SWCNT networks are shown to be fairly controllable by choosing the appropriate ratio of "graphite to Co/Ni-NPs" laser ablation pulses. The Co/Ni NPs and the grown SWCNTs were systematically characterized by atomic force microscopy, scanning/tunnelling electron microscopy, Raman spectroscopy and thermogravimetry analysis, and their potential as an active material in thin film transistor was evaluated. Obtained characterization data have led to identify key growth parameters of this novel approach, and to propose growth mechanism models that best describe our observations.
机译:我们报告了“全激光”方法在硅基板上预定位置的受控生长以控制单壁碳纳米管(SWCNT)垫的工艺范围。与以烟灰形式生产SWCNT的常规激光烧蚀方法不同,伴随负载金属催化剂的石墨靶材的烧蚀,“全激光”工艺分两个连续且独立的步骤进行。的确,首先使用相同的KrF脉冲激光在室温下沉积Co / Ni催化剂纳米颗粒(NPs)到基材上-通过调节激光烧蚀脉冲的数量可以控制其大小和表面密度-然后再使用从纯石墨靶材的激光烧蚀中,将SWCNT生长到Co / Ni NPs部位上。通过选择“石墨与Co / Ni-NPs”激光烧蚀脉冲的适当比例,可以显示生长的SWCNT网络是相当可控的。通过原子力显微镜,扫描/隧道电子显微镜,拉曼光谱和热重分析系统地表征了Co / Ni NP和生长的SWCNT,并评估了它们在薄膜晶体管中作为活性材料的潜力。获得的表征数据已导致鉴定这种新方法的关键生长参数,并提出了最能描述我们观察结果的生长机理模型。

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