Suppr超能文献

锚定在多孔氧化铝上的非对齐碳纳米管:形成、过程建模、气相分析和场发射特性。

Nonaligned carbon nanotubes anchored on porous alumina: formation, process modeling, gas-phase analysis, and field-emission properties.

作者信息

Lysenkov Dmitry, Engstler Jörg, Dangwal Arti, Popp Alexander, Müller Günter, Schneider Jörg J, Janardhanan Vinod M, Deutschmann Olaf, Strauch Peter, Ebert Volker, Wolfrum Jürgen

机构信息

Bergische Universität Wuppertal, Fachbereich C Abt. Physik, 42097 Wuppertal, Germany.

出版信息

Small. 2007 Jun;3(6):974-85. doi: 10.1002/smll.200600595.

Abstract

We have developed a chemical vapor deposition (CVD) process for the catalytic growth of carbon nanotubes (CNTs), anchored in a comose-type structure on top of porous alumina substrates. The mass-flow conditions of precursor and carrier gases and temperature distributions in the CVD reactor were studied by transient computational fluid dynamic simulation. Molecular-beam quadrupole mass spectroscopy (MB-QMS) has been used to analyze the gas phase during ferrocene CVD under reaction conditions (1073 K) in the boundary layer near the substrate. Field-emission (FE) properties of the nonaligned CNTs were measured for various coverages and pore diameters of the alumina. Samples with more dense CNT populations provided emitter-number densities up to 48,000 cm(-2) at an electric field of 6 V microm(-1). Samples with fewer but well-anchored CNTs in 22-nm pores yielded the highest current densities. Up to 83 mA cm(-2) at 7 V microm(-1) in dc mode and more than 200 mA cm(-2) at 11 V microm(-1) in pulsed diode operation have been achieved from a cathode size of 24 mm2.

摘要

我们开发了一种化学气相沉积(CVD)工艺,用于在多孔氧化铝基板顶部以丛生型结构催化生长碳纳米管(CNT)。通过瞬态计算流体动力学模拟研究了CVD反应器中前驱体气体和载气的质量流条件以及温度分布。分子束四极质谱(MB-QMS)已用于分析在反应条件(1073 K)下基板附近边界层中进行二茂铁CVD时的气相。针对氧化铝的各种覆盖率和孔径测量了未排列的CNT的场发射(FE)特性。具有更密集CNT群体的样品在6 V μm⁻¹的电场下提供了高达48,000 cm⁻²的发射体数密度。在22 nm孔径中具有较少但锚固良好的CNT的样品产生了最高的电流密度。从24 mm²的阴极尺寸在直流模式下7 V μm⁻¹时达到了高达83 mA cm⁻²,在脉冲二极管操作中11 V μm⁻¹时超过了200 mA cm⁻²。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验