期刊
AIMS MATERIALS SCIENCE
卷 8, 期 6, 页码 867-880出版社
AMER INST MATHEMATICAL SCIENCES-AIMS
DOI: 10.3934/matersci.2021053
关键词
molecular materials; polymers; mechanical properties; molecular dynamics simulations
资金
- Friedrich-Alexander-Universitat Erlangen-Nurnberg [GRK 2423]
This study reviews the methods for deriving mechanical properties from atomic simulations, with a focus on the temperature-dependent characterization of polymer materials. It highlights the strong temperature-dependence of elastic moduli and the viscoelastic behavior caused by nm-scale reorganization during thermal fluctuations. The study suggests pre-processing data with Fourier-filtering before applying Boltzmann-statistics for suitable application of linear-response theory.
We review approaches to deriving mechanical properties from atomic simulations with a special emphasis on temperature-dependent characterization of polymer materials. The complex molecular network of such materials implies only partial, rather local ordering stemming from the entanglement of molecular moieties or covalent bonding of network nodes, whereas the polymer strands between the nodes may undergo nm-scale reorganization during thermal fluctuations. This not only leads to a strong temperature-dependence of the elastic moduli, but also gives rise to viscoelastic behavior that complicates characterization from molecular dynamics simulations. Indeed, tensile-testing approaches need rigorous evaluation of strain-rate dependences, provoking significant computational demands. Likewise, the use of fluctuations observed from unbiased constant-temperature, constant-pressure molecular dynamics simulation is not straight-forward. However, we suggest pre-processing from Fourier-filtering prior to taking Boltzmann-statistics to discriminate elastic-type vibrations of the simulation models for suitable application of linear-response theory.
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