Importance of oxygen in single-walled carbon nanotube growth: Insights from QM/MD simulations

Ying Wang, Wei Song, Menggai Jiao, Zhijian Wu, Stephan Irle

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

Quantum chemical molecular dynamics simulations based on the density-functional tight-binding (DFTB) method were performed to investigate the role of oxygen in single-walled carbon nanotube (SWCNT) growth process. We found that a suitable content of oxygen in an iron nano-catalyst particle can reduce the internal thermal mobility of Fe atoms in catalyst due to the formation of strong Fe[sbnd]O bonds. These strong Fe[sbnd]O bonds also cause reduction of the iron nano-catalyst particle diameter and hence accelerate the collisions of carbon atoms on the catalyst particles. Contrarily, the high electronegativity of oxygen will induce positive charges on the Fe surface and consequently slow down the thermal mobility of adsorbed carbon atoms, causing a reduction of the nucleation rate. By tuning these two opposing factors with the oxygen contents of the iron nanoparticles, potentially highly efficient syntheses of SWCNT including diameter control can be carried out. The current results indicated that in our simulations the optimum ratio of iron and oxygen was 6:1. The observed reduced iron mobility may have implications for Ostwald ripening and for the control of the catalyst shape.

Original languageEnglish
Pages (from-to)292-300
Number of pages9
JournalCarbon
Volume121
DOIs
StatePublished - Sep 2017
Externally publishedYes

Funding

We thank Dr. Benji Maruyama for the helpful discussions. This work is supported by the National Natural Science Foundation of China (21503210, 21521092, 21673220), Jilin Province Natural Science Foundation (20150101012JC) and Special Program for Applied Research on Super Computation of the NSFC-Guangdong Joint Fund (the second phase). Part of the computational time is supported by the Performance Computing Center of Jilin University and Changchun Normal University.

FundersFunder number
Performance Computing Center of Jilin University
Special Program for Applied Research on Super Computation of the NSFC-Guangdong Joint Fund
Natural Science Foundation of Jilin Province20150101012JC
National Natural Science Foundation of China21521092, 21503210, 21673220
Changchun Normal University

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