Literature DB >> 16852906

Thermal conductivities of molecular liquids by reverse nonequilibrium molecular dynamics.

Meimei Zhang1, Enrico Lussetti, Luís E S de Souza, Florian Müller-Plathe.   

Abstract

The reverse nonequilibrium molecular dynamics method for thermal conductivities is adapted to the investigation of molecular fluids. The method generates a heat flux through the system by suitably exchanging velocities of particles located in different regions. From the resulting temperature gradient, the thermal conductivity is then calculated. Different variants of the algorithm and their combinations with other system parameters are tested: exchange of atomic velocities versus exchange of molecular center-of-mass velocities, different exchange frequencies, molecular models with bond constraints versus models with flexible bonds, united-atom versus all-atom models, and presence versus absence of a thermostat. To help establish the range of applicability, the algorithm is tested on different models of benzene, cyclohexane, water, and n-hexane. We find that the algorithm is robust and that the calculated thermal conductivities are insensitive to variations in its control parameters. The force field, in contrast, has a major influence on the value of the thermal conductivity. While calculated and experimental thermal conductivities fall into the same order of magnitude, in most cases the calculated values are systematically larger. United-atom force fields seem to do better than all-atom force fields, possibly because they remove high-frequency degrees of freedom from the simulation, which, in nature, are quantum-mechanical oscillators in their ground state and do not contribute to heat conduction.

Entities:  

Year:  2005        PMID: 16852906     DOI: 10.1021/jp0512255

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  7 in total

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Journal:  ACS Omega       Date:  2022-01-24

5.  Increasing the thermal conductivity of styrene butadiene rubber: insights from molecular dynamics simulation.

Authors:  Xiuying Zhao; Bozhi Fu; Wenfeng Zhang; Haoxiang Li; Yonglai Lu; Yangyang Gao; Liqun Zhang
Journal:  RSC Adv       Date:  2020-06-19       Impact factor: 3.361

6.  Graphene Nanoribbon Based Thermoelectrics: Controllable Self- Doping and Long-Range Disorder.

Authors:  Huashan Li; Jeffrey C Grossman
Journal:  Adv Sci (Weinh)       Date:  2017-03-31       Impact factor: 16.806

7.  Thermal Conductivity of Polyamide-6,6/Carbon Nanotube Composites: Effects of Tube Diameter and Polymer Linkage between Tubes.

Authors:  Mahboube Keshtkar; Nargess Mehdipour; Hossein Eslami
Journal:  Polymers (Basel)       Date:  2019-09-07       Impact factor: 4.329

  7 in total

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