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Updated: Aug 15, 2026

Functionalization of Single-walled Carbon Nanotubes with Thermo-reversible Block Copolymers and Characterization by Small-angle Neutron Scattering
Published on: June 1, 2016
Size dependence of the thin-shell model for carbon nanotubes
Lifeng Wang1, Quanshui Zheng, Jefferson Z Liu
1Department of Engineering Mechanics, Tsinghua University, Beijing, People's Republic of China.
The thin-shell model for carbon nanotubes shows size-dependent elasticity. Representative wall thickness and elastic moduli vary with tube diameter for both single-walled and multi-walled carbon nanotubes.
Area of Science:
- Materials Science
- Nanotechnology
- Computational Physics
Background:
- The thin-shell model is widely used for carbon nanotube (CNT) analysis, particularly for mechanical properties like buckling.
- Debate exists regarding the appropriate representative wall thickness for accurate modeling.
- Previous models often assumed isotropic behavior, neglecting diameter-specific effects.
Purpose of the Study:
- To investigate the diameter dependence of the thin-shell model's elasticity for single-walled carbon nanotubes (SWNTs).
- To determine how representative wall thickness and elastic moduli change with decreasing tube diameter.
- To assess the size-dependency of elastic moduli in multi-walled carbon nanotubes (MWNTs).
Main Methods:
- Utilized the Tersoff-Brenner potential for atomic interactions.
- Performed ab initio calculations for high-fidelity simulations.
- Analyzed the evolution of elasticity from isotropic to square symmetric with decreasing diameter.
Main Results:
- Elasticity transitions from isotropic to square symmetric as CNT diameter decreases.
- Significant diameter dependence observed for all elastic moduli of SWNTs.
- Elastic moduli of MWNTs up to 10 nm also exhibit size dependency.
Conclusions:
- The choice of representative wall thickness is critically dependent on CNT diameter.
- CNT elasticity is not constant but evolves with size, impacting mechanical behavior predictions.
- Size effects are crucial for accurate modeling of both SWNTs and MWNTs.
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