Literature DB >> 33436656

Heat diffusion-related damping process in a highly precise coarse-grained model for nonlinear motion of SWCNT.

Heeyuen Koh1, Shohei Chiashi2, Junichiro Shiomi2, Shigeo Maruyama3,4.   

Abstract

Second sound and heat diffusion in single-walled carbon nanotubes (SWCNT) are well-known phenomena which is related to the high thermal conductivity of this material. In this paper, we have shown that the heat diffusion along the tube axis affects the macroscopic motion of SWCNT and adapting this phenomena to coarse-grained (CG) model can improve the precision of the coarse-grained molecular dynamics (CGMD) exceptionally. The nonlinear macroscopic motion of SWCNT in the free thermal vibration condition in adiabatic environment is demonstrated in the most simplified version of CG modeling as maintaining finite temperature and total energy with suggested dissipation process derived from internal heat diffusion. The internal heat diffusion related to the cross correlated momentum from different potential energy functions is considered, and it can reproduce the nonlinear dynamic nature of SWCNTs without external thermostatting in CG model. Memory effect and thermostat with random noise distribution are not included, and the effect of heat diffusion on memory effect is quantified through Mori-Zwanzig formalism. This diffusion shows perfect syncronization of the motion between that of CGMD and MD simulation, which is started with initial conditions from the molecular dynamics (MD) simulation. The heat diffusion related to this process has shown the same dispersive characteristics to second wave in SWCNT. This replication with good precision indicates that the internal heat diffusion process is the essential cause of the nonlinearity of the tube. The nonlinear dynamic characteristics from the various scale of simple beads systems are examined with expanding its time step and node length.

Entities:  

Year:  2021        PMID: 33436656      PMCID: PMC7804176          DOI: 10.1038/s41598-020-79200-6

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  14 in total

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Authors:  Alexey N Volkov; Leonid V Zhigilei
Journal:  Phys Rev Lett       Date:  2010-05-28       Impact factor: 9.161

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Authors:  Yu-Chiao Lin; Chun-Yu Chen; Hsin-Lung Chen; Takeji Hashimoto; Show-An Chen; Yen-Cheng Li
Journal:  J Chem Phys       Date:  2015-12-28       Impact factor: 3.488

3.  Markovian approximation in a coarse-grained description of atomic systems.

Authors:  Carmen Hijón; Mar Serrano; Pep Español
Journal:  J Chem Phys       Date:  2006-11-28       Impact factor: 3.488

4.  The relative entropy is fundamental to multiscale and inverse thermodynamic problems.

Authors:  M Scott Shell
Journal:  J Chem Phys       Date:  2008-10-14       Impact factor: 3.488

5.  Zipping, entanglement, and the elastic modulus of aligned single-walled carbon nanotube films.

Authors:  Yoonjin Won; Yuan Gao; Matthew A Panzer; Rong Xiang; Shigeo Maruyama; Thomas W Kenny; Wei Cai; Kenneth E Goodson
Journal:  Proc Natl Acad Sci U S A       Date:  2013-12-05       Impact factor: 11.205

6.  Obtaining fully dynamic coarse-grained models from MD.

Authors:  Pep Español; Ignacio Zúñiga
Journal:  Phys Chem Chem Phys       Date:  2011-03-25       Impact factor: 3.676

7.  Perspective: Dissipative particle dynamics.

Authors:  Pep Español; Patrick B Warren
Journal:  J Chem Phys       Date:  2017-04-21       Impact factor: 3.488

8.  Energy-conserving coarse-graining of complex molecules.

Authors:  Pep Español; Mar Serrano; Ignacio Pagonabarraga; Ignacio Zúñiga
Journal:  Soft Matter       Date:  2016-05-25       Impact factor: 3.679

9.  A Multiscale Description of Biomolecular Active Matter: The Chemistry Underlying Many Life Processes.

Authors:  Gregory A Voth
Journal:  Acc Chem Res       Date:  2017-03-21       Impact factor: 22.384

10.  Atomic-scale hardening mechanisms apply on larger scales in 'architected' materials.

Authors:  Gang Seob Jung; Markus J Buehler
Journal:  Nature       Date:  2019-01       Impact factor: 49.962

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