Universal map of gas-dependent kinetic selectivity in carbon nanotube growth
arXiv:2111.08411 · doi:10.1021/acsnano.1c10569
Abstract
Single-walled carbon nanotubes have been a candidate for outperforming silicon in ultrascaled transistors, but the realization of nanotube-based integrated circuits requires dense arrays of purely semiconducting species. Control over kinetics and thermodynamics in tube-catalyst systems plays a key role for direct growth of such nanotube arrays, and further progress requires the comprehensive understanding of seemingly contradictory reports on the growth kinetics. Here, we propose a universal kinetic model and provide its quantitative verification by ethanol-based isotope labeling experiments. While the removal of carbon from catalysts dominates the growth kinetics under a low supply of precursors, our kinetic model and experiments demonstrate that chirality-dependent growth rates emerge when sufficient amounts of carbon and etching agents are co-supplied. As the model can be extended to create kinetic maps as a function of gas compositions, our findings resolve discrepancies in literature and offer rational strategies for chirality selective growth for practical applications.
9 pages, 4 figures
References in corpus (5)
- Why do nanotubes grow chiral?
- Exciton diffusion, end quenching, and exciton-exciton annihilation in individual air-suspended carbon nanotubes
- Deterministic transfer of optical-quality carbon nanotubes for atomically defined technology
- A Semi-Grand Canonical Kinetic Monte Carlo study of Single-Walled Carbon Nanotubes growth
- Dynamic instability of individual carbon nanotube growth revealed by in situ homodyne polarization microscopy
Cited by in corpus (3)
- Combination effect of growth enhancers and carbon sources on synthesis of single-walled carbon nanotubes from solid carbon growth seeds
- Catalyst-mediated etching of carbon nanotubes exhibiting electronic-structure insensitivity and reciprocal kinetics with growth
- Robust chirality memory in carbon nanotubes growing under modulated and evolving environments