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The unexpected thermal conductivity from graphene disk, carbon nanocone to carbon nanotube

机译:来自石墨烯盘,碳纳米锥的意外导热性   碳纳米管

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摘要

Graphene and single-wall carbon nanotube (SWCNT) have attracted greatattention because of their ultra-high thermal conductivity. However, there arefew works exploring the relations of their thermal conductivity quantitatively.The carbon nanocone (CNC) is a graded structure fall in between graphene disk(GD) and SWCNT. We perform non-equilibrium molecular dynamics (NEMD) simulationto study the thermal conductivity of CNC with different apex angles, and thencompare them with that of GD and SWCNT. Our results show that, different fromthe homogeneous thermal conductivity in SWCNT, the CNC also has a naturalgraded thermal conductivity which is similar to the GD. Unexpectedly, thegraded rate keeps almost the same when the apex angle decreases from 180{\deg}(GD) to 19{\deg}, but then suddenly declines to zero when the apex angledecreases from 19{\deg} to 0{\deg} (SWCNT). What is more interesting, thegraded effect is not diminished when the interatomic force constant is weakenedand mean free path is shorten. That is, besides nanoscale, the graded effectcan be observed in macroscale graphene or CNC structures.
机译:石墨烯和单壁碳纳米管(SWCNT)由于具有超高的导热性而备受关注。然而,很少有研究定量地探讨其导热系数的关系。碳纳米锥(CNC)是一种介于石墨烯盘(GD)和SWCNT之间的梯度结构。我们进行非平衡分子动力学(NEMD)模拟,以研究不同顶角的CNC的导热系数,然后将它们与GD和SWCNT的导热系数进行比较。我们的结果表明,与SWCNT中的均匀导热系数不同,CNC还具有与GD相似的自然梯度导热系数。出乎意料的是,当顶角从180 {\ deg}(GD)减小到19 {\ deg}时,渐变速率几乎保持不变,但是当顶角从19 {\ deg}减小到0 {\ deg时,突然下降到零}(SWCNT)。更有趣的是,当原子间力常数变弱且平均自由程变短时,梯度效应不会减弱。也就是说,除了纳米级以外,还可以在大型石墨烯或CNC结构中观察到渐变效果。

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