Skip to main content

Superelasticity of Carbon Nanocoils from Atomistic Quantum Simulations


A structural model of carbon nanocoils (CNCs) on the basis of carbon nanotubes (CNTs) was proposed. The Young’s moduli and spring constants of CNCs were computed and compared with those of CNTs. Upon elongation and compression, CNCs exhibit superelastic properties that are manifested by the nearly invariant average bond lengths and the large maximum elastic strain limit. Analysis of bond angle distributions shows that the three-dimensional spiral structures of CNCs mainly account for their unique superelasticity.


There is a large class of novel nanostructures with helical geometries including boron carbide [1], SiC [2] and ZnO [3, 4] nanosprings, carbon [5] and ZnO [6] nanohelices, and carbon nanocoils [7, 8]. Among them, carbon nanocoil (CNC) (also known as coiled carbon nanotube) has attracted particular attention due to its structural correlation with carbon nanotubes (CNTs). Intuitively, CNCs may inherit some of the fundamental properties of carbon nanotubes but exhibit other unique mechanical, electronic, and magnetic properties associated with their coiled geometries and the intrinsic distribution of five-membered and seven-membered rings.

In early 1990s, Dunlap [9] and Ihara et al. [1012] proposed several structural models for coiled carbon nanotubes and discussed the relationships between the geometric parameters (diameter, pitch length, rotational symmetry) and the energetic, elastic, and electronic properties. Molecular dynamics simulations and tight-binding calculations have demonstrated the structural stability of CNCs; they have higher cohesive energy (~7.4 eV/atom) than that of C60 (7.29 eV/atom) [10, 13]. Electronic properties of CNCs including band structures and density of states were investigated using a tight-binding model [11, 14], and it was predicted that some carbon nanocoils could be semi-metals, in contrast to the conventionally semiconducting and metallic behavior known for the straight carbon nanotubes.

Since Zhang et al. first fabricated carbon nanocoils (700 nm in pitch and ~20 nm in tubular diameter) via catalytic decomposition of acetylene in 1994 [7], there have been large experimental efforts in synthesizing CNCs of high quality. Production of CNCs by chemical vapor deposition (CVD) [1519], laser evaporation of the fullerene/Ni particle mixture [20], and opposed flow flame combustion method [21] has been reported. Pan and coworkers realized diameter control of CNCs via tuning the particle size of the nanoscale catalysts [22]. In addition to the conventionally synthesized multi-walled CNCs with tubular diameters of 15–100 nm [7, 1619], evidence of ultrathin single-walled carbon nanocoils (with both tubular diameter and pitch length down to 1 nm) was found in the products of carbon nanotubes from catalytic decomposition of hydrocarbon molecules by Biró’s STM experiments [23].

With their unique three-dimensional (3D) helical structures, the CNCs are expected to exhibit spring-like behavior in their mechanical properties. In an experiment by Chen et al. [24], multi-walled CNCs with outer tubular diameter of ~126 nm have been elastically elongated to a maximum strain of ~42%. A spring constant of 0.12 N/m in the low strain region was obtained. According to the structural parameters of nanocoil given by Chen et al. [24] (tubular diameter of 120 nm, coil radius of 420 nm, and pitch of 2,000 nm), Fonseca et al. [25] computed the CNC’s Young’s modulus within the framework of the Kirchhoff rod model and obtained a value of 6.88 GPa. Using finite element analysis at the continuum level, Sanada et al. also predicted a similar result (about 4.5 GPa) for carbon nanocoil with tubular radius of 240 nm, coil radius of 325 nm, and coil pitch of 1,080 nm [26]. However, the experimentally measured Young’s modulus values are much higher than these theoretical predictions. Volodin et al. [27] reported a Young’s modulus ~0.7 TPa for CNCs with coil diameter >170 nm from AFM measurement. Using a manipulator-equipped SEM, Pan et al. determined the Young’s modulus of CNCs to be up to 0.1 TPa for coil diameter ranging from 144 to 830 nm [28]. The large discrepancy between experiment and theory has been attributed to the usage of mechanical parameters of bulk materials in the continuum mechanics simulations [25].

Despite the above efforts, our theoretical knowledge of the CNCs is still limited. In particular, there have been no atomistic simulations of the mechanical properties of the CNCs. In this paper, we proposed a new way of constructing structural models of carbon nanocoils and computed the Young’s moduli and spring constants for a series of ultrathin CNCs. Most interestingly, we observed an unusual superelasticity in these CNCs owing to their 3D spiral geometries.

Structural Model and Computational Methods

We developed a simple way to construct atomistic models for the structures of single-walled carbon nanocoils based on nanotubes with given chirality. As shown in Fig. 1, one pair of pentagons and another pair of heptagons are first individually introduced in two sides of a piece of carbon nanotube via adjusting the local topological structures of the two pairs of originally hexagonal rings (see the highlighted parts in Fig. 1a) and the surrounding carbon network. Introducing pentagons forms a cone defect, while introducing heptagons results in a saddle point defect (see the blue and red rings in Fig. 1b, respectively).

Figure 1
figure 1

(Color online) Procedures of constructing structural model of (6, 6) carbon nanocoil from a piece of (6, 6) carbon nanotube

Upon relaxation, the nanotube segment is bent around the defect site in order to release the strain energy induced by the pentagons and heptagons. The pentagon (heptagon) pair locates in the convex (concave) part of the segment (see Fig. 1b), passing through a bisector after we adjust the number of carbon atoms on the two ends to make the segment symmetric. Depending on how these basic structural segments are connected, either a nanocoil or a nanotori [9, 29, 30] is formed. As shown in Fig. 1c, two segments are connected with a certain rotating angle to make the combined structure spiral and to form a seamless hexagonal carbon network.

The structure in Fig. 1c can be further used as a building block to construct complete nanocoils with one-dimensional (1D) periodic boundary conditions (see Fig. 1d). By changing the tube length at the two ends of the basic segment (Fig. 1b) or varying the nanotube diameter, we can control coil diameter, coil pitch, and tubular diameter of a carbon nanocoil. In such a way, we built a series of single-walled carbon nanocoils, that is, (5, 5), (6, 6), (7, 7), and (8, 8) CNCs. Here, the index (n, n) for a CNC means that the CNC is constructed from the straight (n, n) nanotube. As shown in Fig. 2, a typical nanocoil exhibits a polygonal shape from the top view, in coincidence with experimental observation [31]. The effective coil diameter d of a nanocoil is nearly proportional to its tubular diameter as well as the side length of the basic segment (see Table 2); but there is no simple relationship between the coil pitch and the other geometry parameters. At present, for a given nanotube, we chose to construct nanocoils using the building blocks with the smallest side length (corresponding to the length of the straight nanotube on each basic segment).

Figure 2
figure 2

Geometry of (6, 6) CNC from side view (left plot) and top view (right plot); the latter is a hexagonal nanotori. a is the side length of hexagon, D is the diameter of the inner ring. The area of cross section (from top view) is computed by

The structures and energetics of these CNCs were described by a nonorthogonal tight-binding (TB) model developed by our group previously [32]. This TB total energy model is based on the extended Hückel approximation and employed an exponential distance-dependent function for the hopping integral overlap. The TB parameters were especially developed for hydrocarbon molecules and nanostructures. The experimental or ab initio data on the geometry structures, binding energies, on-site charge transfer, and vibrational frequencies of a variety of hydrocarbon molecules have been well reproduced. In addition, a few test calculations on the carbon fullerenes and nanotubes also showed satisfactory agreement between TB and DFT results.

Within 1D periodic boundary condition, the lattice parameter (pitch) of each nanocoil was carefully adjusted to minimize the total energy. Starting from the equilibrium 1D lattice, the CNCs were either compressed or elongated by gradually varying the lattice parameter to investigate the mechanical properties of these nanocoils. At any given lattice parameter, the atomic coordinates of CNCs were fully relaxed without any symmetry constraint. To validate the results from TB calculations, we performed all-electron density functional theory (DFT) calculations on the smaller (5, 5) CNC. In the DFT calculations, we adopted generalized gradient approximation (GGA) with the PW91 parameterization [33] and the double-numerical plus d polarization (DND) basis set as implemented in the DMol3 package [34].

Results and Discussion

Young’s Modulus and Spring Constant

The mechanical properties of a carbon nanocoil can be characterized by spring constant (k) and Young’s modulus (E), which can be computed by the following two formula:

where U is the elastic potential energy of the system (total energies differences of different lengths),andare the 1D displacement and strain under elongation/compression, respectively, L is the length of 1D unit cell and the L0 is its equilibrium value, and V0 is the effective volume of the 1D structural unit in its equilibrium configuration. For a carbon nanocoil, V0 = S × L0, where S is the area of cross section of the nanocoil from the top view (see Fig. 2). Similarly, for a single-walled carbon nanotube, V0 = 2πr × L0 × Δd, where Δd = 3.4 Å is the shell thickness of tube wall and r is the tube radius [35, 36].

Using DFT results as benchmark, we first calculated the Young’s modulus of a series of armchair carbon nanotubes to assess the validity of the present TB total energy model. Starting from the equilibrium 1D lattice length, we elongated different armchair CNTs along the axis direction with a strain step of 0.2% up to a maximum strain of 1%. The computational 1D supercells of 29.54 Å in length include 12 unit cells of nanotube. The theoretical Young’s moduli of CNTs from DFT and TB calculations are listed in Table 1. Both methods predicted that the Young’s moduli of CNTs are around 1.0 TPa, nearly independent of tube diameter. Similar results were obtained in previous theoretical [36] and experimental [37] studies on CNTs. The agreement between the TB and DFT calculations and the coincidence with previous results indicate that the present TB model should be reasonable for describing the mechanical properties of carbon nanostructures.

Table 1 Young’s modulus (E) of different armchair carbon nanotubes from DFT (EDFT) and TB (ETB) calculations

Similarly, the Young’s moduli and spring constants of CNCs were calculated via stretching the system along the orientation of their spiral axis. Within a maximum strain of 5%, we gradually applied the elongation strain by a step of 1%. The Young’s moduli of CNCs from TB calculations are listed in Table 2. For all systems studied, the computed Young’s moduli range between three and six GPa. For the smallest (5, 5) nanocoil considered, our DFT calculations yield a Young’s modulus of E = 5.31 GPa, rather close to the TB value (5.4 GPa). Compared with those of carbon nanotubes, the Young’s moduli of nanocoils are lower by two orders of magnitude, indicating that the CNCs are quite soft with regard to CNTs owing to their unique spring-like geometry. The Young’s moduli for the ultrathin nanocoils from our present atomistic calculations are comparable to those of previous theoretical results for mesoscale nanocoils. Unfortunately, there are no experimental data reported for ultrathin CNCs with diameters down to several nanometers.

Table 2 Young’s modulus (E) and spring constant (k) of carbon nanocoils (CNCs) from TB and DFT (values in brackets) calculations

Although the computed Young’s modulus for nanocoil varies with the tubular diameter and coil diameter (see Table 2), there seems no clear diameter-dependent trend, in agreement with the experimental observations [27, 28]. For carbon nanocoils of diameters between 144 and 830 nm, Hayashida et al. [28] found that the Young’s modulus changes irregularly from 0.04 TPa to 0.10 TPa. Volodin’s measurement of Young’s modulus also revealed no apparent dependence on the coil diameter [27].

The spring constants of the CNCs were also computed using Eq. (1), and the results are listed in Table 2. For the (5, 5), (6, 6), and (7, 7) CNCs, the spring constants are around 15–19 N/m, whereas the (8, 8) CNC possesses a very large spring constant of 44.36 N/m. Previous experiment by Chen et al. [24] obtained a k = 0.12 N/m for a mesoscale CNC (tubular diameter of 120 nm, coil radius of 420 nm, and pitch of 120 nm). The discrepancy between the present theoretical values and the measured data might be understood by the different length scales of the systems (nanometers in our model systems versus hundreds of nanometers in experimental CNCs).


For macroscopic materials, the superelastic (or pseudoelastic) effect in the shape memory alloys results in a variety of useful industrial and medical applications [38]. In the nanostructured materials, similar superelastic phenomena were recently revealed in nanocoils and microcoils. Gao et al. reported superelasticity in ZnO nanohelices (~560 nm in coil diameter) with an experimental maximum elongation of 69.8% measured by AFM and a theoretical maximum elongation of 72% calculated by classical elasticity theory [6]. A Si4N3 microcoil with coil diameter of 160 μm also exhibited good recovery ability under repeated load, corresponding to the superelasticity [39]. In particular, even when stretched to a nearly straight shape for several cycles, the Si4N3 microcoil recovered its original state without damage after the load was released. As for the coiled carbon structures, Motojima et al. revealed that carbon microcoils could be extended and contracted by 3–15 times [40] and 5–10 times [41] with regard to the original coil length. Meanwhile, carbon nanocoils also demonstrated superior elasticity with a maximum relative elongation of ~42% [24].

In this work, we applied elongation (compressive) strains up to about 60% (20–35%) on different CNCs. Above such elastic limits, the CNCs will undergo plastic deformation, which will not be discussed here. Within the elastic strain ranges considered, the CNCs hold their topological structures very well upon geometry relaxation. We further examined the changes of average C–C bond lengths of CNCs during elongation and compression. As shown in Fig. 3, the average C–C bond length is very robust under external strains of both directions. With elongation strain up to 50%, the increase in average bond length is only less than 0.6% for (5, 5), 0.4% for (6, 6), and 0.3% for (7, 7) CNC, respectively. On the other hand, the average C–C bond length is slightly reduced under 1D compression. For a (5, 5) CNC, the magnitude of average bond length reduction is about 0.4% up to a maximum compressive strain of 35%. In additional to the above TB results, DFT calculations were carried out on the (5, 5) CNC to further confirm the change of average bond length during elongation and compression. As shown in the insert plot of Fig. 3, up to an elongation strain of 50% (a compressive strain of 30%), the increase (decrease) in average bond length is 0.5% (0.14%) from DFT calculations, comparable to the TB values of 0.6% (0.08%). The excellent coincidence between DFT and TB results proves that the present TB model is reliable at least for describing the elastic properties of the carbon nanocoils.

Figure 3
figure 3

Variation of average C–C bond length in carbon nanocoils (CNCs) under elongation (positive) and compressive (negative) strains. The insert plot shows the comparison of percentages of bond length variation with regard to the equilibrium state for a (5, 5) CNC from DFT and TB calculations

With increasing tubular diameter, the variation of average bond length in the nanocoil is less sensitive to elongation strain (see Fig. 3), implying that the nanocoil can undertake higher strain. On the contrary, the elastic limit of compression for a CNC reduces with increasing tubular diameter. For example, the maximum compressive strain is 35% for (5, 5) CNC, 25% for (6, 6) CNC, and 20% for (7, 7) CNC. It is interesting to note that the carbon nanocoils can undertake higher elongation strain (up to ~60%) than compressive one (up to 20–35%).

The above computational results show superior superelasticity in CNCs. In particular, under elongation strain up to 60%, the topology structure of the carbon nanocoil is still retained, with an average bond length only increased by less than 1%. This phenomenon can be partially understood by the 3D spiral structures of the CNCs, which offer enough flexibility to be stretched or squeezed. Due to the substantial strength of C–C bond (with average bond energy over 2 eV), the relative orientations of neighboring C–C bonds (i.e., bond angles) in a nanocoil would alter during compression or elongation in order to avoid significant changes of C–C bond lengths. As shown in Fig. 4, the full width at half maximum (FWHM) of bond angle distribution for a (5, 5) CNC increases during elongation or compression. For example, the FWHM for the equilibrium (5, 5) CNC is 2.7°. It increases to 3.5° under an elongation strain of 50%, and 5.6° for a compressive strain of 35%. The superelastic behavior predicted for CNCs may lead to some applications in nanoscale materials and devices, for example, shape memory, elastic energy storage, buffer, nano-spring in NEMS, and so on.

Figure 4
figure 4

Bond angle distribution of (5, 5) carbon nanocoil under large elongation (50%) and compressive strain (35%), compared to the equilibrium case


We have constructed a series of carbon nanocoils by periodically introducing pentagons and heptagons in the segments of carbon nanotubes to make them coiled. The computed Young’s moduli of carbon nanocoils (3–6 GPa) are much lower than those of carbon nanotubes (~1 TPa). Under large elongation/compressive strains, the average bond lengths of CNCs almost remain invariant, while the elastic energy is stored via bond angle redistributions, corresponding to the superelastic behavior. Compared to the carbon nanotubes with same chirality, nanocoils show much smaller Young’s moduli and unusual superelasticity, which might lead to some future nanotechnology applications.


  1. McIlroy DN, Zhang D, Kranov Y, Norton MG: Appl. Phys. Lett.. 2001, 79: 1540. COI number [1:CAS:528:DC%2BD3MXmsFagurc%3D]; Bibcode number [2001ApPhL..79.1540M] COI number [1:CAS:528:DC%2BD3MXmsFagurc%3D]; Bibcode number [2001ApPhL..79.1540M] 10.1063/1.1400079

    Article  Google Scholar 

  2. Zhang D, Alkhateeb A, Han H, Mahmood H, McIlroy DN, Norton MG: Nano Lett.. 2003, 3: 983. COI number [1:CAS:528:DC%2BD3sXktFSqsLk%3D]; Bibcode number [2003NanoL...3..983Z] COI number [1:CAS:528:DC%2BD3sXktFSqsLk%3D]; Bibcode number [2003NanoL...3..983Z] 10.1021/nl034288c

    Article  Google Scholar 

  3. Kong XY, Wang ZL: Nano Lett.. 2003, 3: 1625. COI number [1:CAS:528:DC%2BD3sXmtVSiu7Y%3D]; Bibcode number [2003NanoL...3.1625K] COI number [1:CAS:528:DC%2BD3sXmtVSiu7Y%3D]; Bibcode number [2003NanoL...3.1625K] 10.1021/nl034463p

    Article  Google Scholar 

  4. Gao PX, Wang ZL: Small. 2005, 1: 945. COI number [1:CAS:528:DC%2BD2MXhtVaks7jF] COI number [1:CAS:528:DC%2BD2MXhtVaks7jF] 10.1002/smll.200500165

    Article  Google Scholar 

  5. Zhang G, Jiang X, Wang E: Appl. Phys. Lett.. 2004, 84: 2646. COI number [1:CAS:528:DC%2BD2cXivVaqtLc%3D]; Bibcode number [2004ApPhL..84.2646Z] COI number [1:CAS:528:DC%2BD2cXivVaqtLc%3D]; Bibcode number [2004ApPhL..84.2646Z] 10.1063/1.1695198

    Article  Google Scholar 

  6. Gao PX, Mai WJ, Wang ZL: Nano Lett.. 2006, 6: 2536. COI number [1:CAS:528:DC%2BD28XhtVaku7rN]; Bibcode number [2006NanoL...6.2536G] COI number [1:CAS:528:DC%2BD28XhtVaku7rN]; Bibcode number [2006NanoL...6.2536G] 10.1021/nl061943i

    Article  Google Scholar 

  7. Zhang XB, Zhang XF, Bernaerts D, Vantendeloo GT, Amelinckx S, Vanlanduyt J, Ivanov V, Nagy JB, Lambin P, Lucas AA: Europhys. Lett.. 1994, 27: 141. COI number [1:CAS:528:DyaK2cXlvFaisr4%3D]; Bibcode number [1994EL.....27..141Z] COI number [1:CAS:528:DyaK2cXlvFaisr4%3D]; Bibcode number [1994EL.....27..141Z] 10.1209/0295-5075/27/2/011

    Article  Google Scholar 

  8. Kin Tak L, Mei L, David H: Compos. Part. B. Eng.. 2006, 37: 437. 10.1016/j.compositesb.2006.02.008

    Article  Google Scholar 

  9. Dunlap BI: Phys. Rev. B. 1992, 46: 1933. COI number [1:CAS:528:DyaK38XltFyqsr4%3D]; Bibcode number [1992PhRvB..46.1933D] COI number [1:CAS:528:DyaK38XltFyqsr4%3D]; Bibcode number [1992PhRvB..46.1933D] 10.1103/PhysRevB.46.1933

    Article  Google Scholar 

  10. Ihara S, Itoh S, Kitakami J-I: Phys. Rev. B. 1993, 48: 5643. COI number [1:CAS:528:DyaK3sXmtlCmt7Y%3D]; Bibcode number [1993PhRvB..48.5643I] COI number [1:CAS:528:DyaK3sXmtlCmt7Y%3D]; Bibcode number [1993PhRvB..48.5643I] 10.1103/PhysRevB.48.5643

    Article  Google Scholar 

  11. Akagi K, Tamura R, Tsukada M, Itoh S, Ihara S: Phys. Rev. Lett.. 1995, 74: 2307. COI number [1:CAS:528:DyaK2MXksVarsr0%3D]; Bibcode number [1995PhRvL..74.2307A] COI number [1:CAS:528:DyaK2MXksVarsr0%3D]; Bibcode number [1995PhRvL..74.2307A] 10.1103/PhysRevLett.74.2307

    Article  Google Scholar 

  12. Ihara S, Itoh S: Carbon. 1995, 33: 931. COI number [1:CAS:528:DyaK2MXntFSgsrs%3D] COI number [1:CAS:528:DyaK2MXntFSgsrs%3D] 10.1016/0008-6223(95)00022-6

    Article  Google Scholar 

  13. ZhongCan OY, Su ZB, Wang CL: Phys. Rev. Lett.. 1997, 78: 4055. COI number [1:CAS:528:DyaK2sXjsVentro%3D]; Bibcode number [1997PhRvL..78.4055Z] COI number [1:CAS:528:DyaK2sXjsVentro%3D]; Bibcode number [1997PhRvL..78.4055Z] 10.1103/PhysRevLett.78.4055

    Article  Google Scholar 

  14. Akagi K, Tamura R, Tsukada M, Itoh S, Ihara S: Phys. Rev. B. 1996, 53: 2114. COI number [1:CAS:528:DyaK28XptV2gtw%3D%3D]; Bibcode number [1996PhRvB..53.2114A] COI number [1:CAS:528:DyaK28XptV2gtw%3D%3D]; Bibcode number [1996PhRvB..53.2114A] 10.1103/PhysRevB.53.2114

    Article  Google Scholar 

  15. Pan LJ, Hayashida T, Zhang M, Nakayama Y: Jpn. J. Appl. Phys. Pt. 2 Lett.. 2001, 40: L235. COI number [1:CAS:528:DC%2BD3MXks1Gmtrw%3D] COI number [1:CAS:528:DC%2BD3MXks1Gmtrw%3D] 10.1143/JJAP.40.L235

    Article  Google Scholar 

  16. Pradhan D, Sharon M: Mater. Sci. Eng. B. 2002, 96: 24. 10.1016/S0921-5107(02)00309-4

    Article  Google Scholar 

  17. Takenaka S, Ishida M, Serizawa M, Tanabe E, Otsuka K: J. Phys. Chem. B. 2004, 108: 11464. COI number [1:CAS:528:DC%2BD2cXlsFahur4%3D] COI number [1:CAS:528:DC%2BD2cXlsFahur4%3D] 10.1021/jp048827t

    Article  Google Scholar 

  18. Xie JN, Mukhopadyay K, Yadev J, Varadan VK: Smart Mater. Struct.. 2003, 12: 744. COI number [1:CAS:528:DC%2BD3sXpsFyrsr4%3D]; Bibcode number [2003SMaS...12..744X] COI number [1:CAS:528:DC%2BD3sXpsFyrsr4%3D]; Bibcode number [2003SMaS...12..744X] 10.1088/0964-1726/12/5/010

    Article  Google Scholar 

  19. Pan LJ, Zhang M, Nakayama Y: J. Appl. Phys.. 2002, 91: 10058. COI number [1:CAS:528:DC%2BD38XktFGms70%3D]; Bibcode number [2002JAP....9110058P] COI number [1:CAS:528:DC%2BD38XktFGms70%3D]; Bibcode number [2002JAP....9110058P] 10.1063/1.1471575

    Article  Google Scholar 

  20. Koos AA, Ehlich R, Horvath ZE, Osvath Z, Gyulai J, Nagy JB, Biró LP: Mater. Sci. Eng. C. 2002, 23: 275. 10.1016/S0928-4931(02)00255-2

    Article  Google Scholar 

  21. Saveliev AV, Merchan-Merchan W, Kennedy LA: Combust. Flame. 2003, 135: 27. COI number [1:CAS:528:DC%2BD3sXnvVSjsbo%3D] COI number [1:CAS:528:DC%2BD3sXnvVSjsbo%3D] 10.1016/S0010-2180(03)00142-1

    Article  Google Scholar 

  22. Hokushin S, Pan L, Nakayama Y: Jpn. J. Appl. Phys.. 2007, 46: 5383. COI number [1:CAS:528:DC%2BD2sXhtVSmtr7M]; Bibcode number [2007JaJAP..46.5383H] COI number [1:CAS:528:DC%2BD2sXhtVSmtr7M]; Bibcode number [2007JaJAP..46.5383H] 10.1143/JJAP.46.5383

    Article  Google Scholar 

  23. Biró LP, Lazarescu SD, Thiry PA, Fonseca A, Nagy JB, Lucas AA, Lambin P: Europhys. Lett.. 2000, 50: 494. Bibcode number [2000EL.....50..494B] Bibcode number [2000EL.....50..494B] 10.1209/epl/i2000-00296-0

    Article  Google Scholar 

  24. Chen XQ, Zhang SL, Dikin DA, Ding WQ, Ruoff RS, Pan LJ, Nakayama Y: Nano Lett.. 2003, 3: 1299. COI number [1:CAS:528:DC%2BD3sXmtVKnur8%3D]; Bibcode number [2003NanoL...3.1299C] COI number [1:CAS:528:DC%2BD3sXmtVKnur8%3D]; Bibcode number [2003NanoL...3.1299C] 10.1021/nl034367o

    Article  Google Scholar 

  25. da Fonseca AF, Malta CP, Galvao DS: Nanotechnology. 2006, 17: 5620. 10.1088/0957-4484/17/22/015

    Article  Google Scholar 

  26. Sanada K, Takada Y, Yamamoto S, Shindo Y: J. Solid Mech. Mater. Eng.. 2008, 2: 1517. 10.1299/jmmp.2.1517

    Article  Google Scholar 

  27. Volodin A, Ahlskog M, Seynaeve E, Van Haesendonck C, Fonseca A, Nagy JB: Phys. Rev. Lett.. 2000, 84: 3342. COI number [1:CAS:528:DC%2BD3cXitlWhuro%3D]; Bibcode number [2000PhRvL..84.3342V] COI number [1:CAS:528:DC%2BD3cXitlWhuro%3D]; Bibcode number [2000PhRvL..84.3342V] 10.1103/PhysRevLett.84.3342

    Article  Google Scholar 

  28. Hayashida T, Pan L, Nakayama Y: Physica B. 2002, 323: 352. COI number [1:CAS:528:DC%2BD38Xmsl2ltbg%3D]; Bibcode number [2002PhyB..323..352H] COI number [1:CAS:528:DC%2BD38Xmsl2ltbg%3D]; Bibcode number [2002PhyB..323..352H] 10.1016/S0921-4526(02)01002-5

    Article  Google Scholar 

  29. Ihara S, Itoh S, Kitakami J-I: Phys. Rev. B. 1993, 47: 12908. COI number [1:CAS:528:DyaK3sXksFKlsbo%3D]; Bibcode number [1993PhRvB..4712908I] COI number [1:CAS:528:DyaK3sXksFKlsbo%3D]; Bibcode number [1993PhRvB..4712908I] 10.1103/PhysRevB.47.12908

    Article  Google Scholar 

  30. Itoh S, Ihara S, Kitakami J-I: Phys. Rev. B. 1993, 47: 1703. COI number [1:CAS:528:DyaK3sXhsFCqur8%3D]; Bibcode number [1993PhRvB..47.1703I] COI number [1:CAS:528:DyaK3sXhsFCqur8%3D]; Bibcode number [1993PhRvB..47.1703I] 10.1103/PhysRevB.47.1703

    Article  Google Scholar 

  31. Zhang XF, Zhang Z: Phys. Rev. B. 1995, 52: 5313. COI number [1:CAS:528:DyaK2MXnslequ7w%3D]; Bibcode number [1995PhRvB..52.5313Z] COI number [1:CAS:528:DyaK2MXnslequ7w%3D]; Bibcode number [1995PhRvB..52.5313Z] 10.1103/PhysRevB.52.5313

    Article  Google Scholar 

  32. Zhao J, Guo X, Wen B: Mol. Simulat.. 2007, 33: 703. COI number [1:CAS:528:DC%2BD2sXptlSmtb0%3D] COI number [1:CAS:528:DC%2BD2sXptlSmtb0%3D] 10.1080/08927020701203706

    Article  Google Scholar 

  33. Perdew JP, Wang Y: Phys. Rev. B. 1992, 45: 13244. Bibcode number [1992PhRvB..4513244P] Bibcode number [1992PhRvB..4513244P] 10.1103/PhysRevB.45.13244

    Article  Google Scholar 

  34. Delley B: J. Chem. Phys.. 1990, 92: 508. COI number [1:CAS:528:DyaK3cXht1Ggu7o%3D]; Bibcode number [1990JChPh..92..508D] COI number [1:CAS:528:DyaK3cXht1Ggu7o%3D]; Bibcode number [1990JChPh..92..508D] 10.1063/1.458452

    Article  Google Scholar 

  35. Hernandez E, Goze C, Bernier P, Rubio A: Phys. Rev. Lett.. 1998, 80: 4502. COI number [1:CAS:528:DyaK1cXjtFyjtL4%3D]; Bibcode number [1998PhRvL..80.4502H] COI number [1:CAS:528:DyaK1cXjtFyjtL4%3D]; Bibcode number [1998PhRvL..80.4502H] 10.1103/PhysRevLett.80.4502

    Article  Google Scholar 

  36. Lu JP: Phys. Rev. Lett.. 1997, 79: 1297. COI number [1:CAS:528:DyaK2sXlvVektro%3D]; Bibcode number [1997PhRvL..79.1297L] COI number [1:CAS:528:DyaK2sXlvVektro%3D]; Bibcode number [1997PhRvL..79.1297L] 10.1103/PhysRevLett.79.1297

    Article  Google Scholar 

  37. Wong EW, Sheehan PE, Lieber CM: Science. 1997, 277: 1971. COI number [1:CAS:528:DyaK2sXmt12ku7k%3D] COI number [1:CAS:528:DyaK2sXmt12ku7k%3D] 10.1126/science.277.5334.1971

    Article  Google Scholar 

  38. Lagoudas DC: Shape memory alloys: modeling and engineering applications. Springer, Berlin; 2008.

    Google Scholar 

  39. Cao CB, Du HL, Xu YJ, Zhu HS, Zhang TH, Yang R: Adv. Mater.. 2008, 20: 1738. COI number [1:CAS:528:DC%2BD1cXmslWjsrw%3D] COI number [1:CAS:528:DC%2BD1cXmslWjsrw%3D] 10.1002/adma.200701021

    Article  Google Scholar 

  40. Motojima S, Chen X, Yang S, Hasegawa M: Diam. Relat. Mater.. 2004, 13: 1989. COI number [1:CAS:528:DC%2BD2cXpt1Wlsbs%3D] COI number [1:CAS:528:DC%2BD2cXpt1Wlsbs%3D] 10.1016/j.diamond.2004.06.020

    Article  Google Scholar 

  41. Yang SM, Chen XQ, Aoki H, Motojima S: Smart Mater. Struct.. 2006, 15: 687. COI number [1:CAS:528:DC%2BD2sXhtFyisL7L]; Bibcode number [2006SMaS...15..687Y] COI number [1:CAS:528:DC%2BD2sXhtFyisL7L]; Bibcode number [2006SMaS...15..687Y] 10.1088/0964-1726/15/3/003

    Article  Google Scholar 

Download references


This work is supported by NCET Program provided by the Ministry of Education of China (NCET-060281), and the Scientific Research Foundation for the Returned Overseas Chinese Scholars.

Open Access

This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.

Author information

Authors and Affiliations


Corresponding author

Correspondence to Ji Jun Zhao.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and Permissions

About this article

Cite this article

Liu, L., Gao, H., Zhao, J. et al. Superelasticity of Carbon Nanocoils from Atomistic Quantum Simulations. Nanoscale Res Lett 5, 478 (2010).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI:


  • Nanocoil
  • Nanotube
  • Superelasticity
  • Young’s modulus