4.8 Article

Rationally designed catalyst layers toward immortal growth of carbon nanotube forests: Fe-ion implanted substrates

Journal

CARBON
Volume 152, Issue -, Pages 482-488

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.carbon.2019.06.030

Keywords

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Funding

  1. Korea Multi-Purpose Accelerator Complex (KOMAC) operation fund of KAERI
  2. Korea Institute of Science and Technology (KIST) Open Research Program [2E27820]
  3. National Research Foundation of Korea (NRF) [2018R1A2B2005205]
  4. Ministry of Science & ICT (MSIT), Republic of Korea [2E27820] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
  5. National Research Foundation of Korea [2018R1A2B2005205] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

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To increase the length and coherence of carbon nanotube (CNT) forests that are grown by chemical vapor deposition, we implant Fe ions into an Al2O3 supporting layer to weaken the gradient of Fe concentration when Fe catalyst layer is deposited on it. The weakened gradient slows loss of Fe catalyst nanoparticles (NPs) by sub-surface diffusion into the Al2O3 layer. Therefore, Fe catalyst NPs were well maintained on the Fe-implanted substrates after growth for up to 660 min, whereas significant loss of Fe NPs occurred due to sub-surface diffusion into the Al2O3 supporting layer on the non-implanted substrates. The lifetime of the catalyst was extended to 660 min (Fe-implanted substrate) from 540 min (non-implanted substrate), and the lengths of CNTs in the forest were increased to 20.3 +/- 1.0 mm (Fe-implanted substrate, maximum 21.5 mm) from 15.8 +/- 1.9 mm (non-implanted substrate). This study clearly demonstrates that sub-surface diffusion of Fe catalyst NPs into the supporting layer is the mechanism that limits CNT forest growth and may provide insights into development of methods to design an immortal catalyst to grow CNT forests. (C) 2019 Elsevier Ltd. All rights reserved.

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