Journal
SCIENTIFIC REPORTS
Volume 11, Issue 1, Pages -Publisher
NATURE RESEARCH
DOI: 10.1038/s41598-021-80975-5
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Funding
- RIKEN Center for Computational Science through the HPCI System Research project [hp170363]
- JAMSTEC [1-20008]
- JSPS KAKENHI [JP18K18813, JP19H05718, JP20H02058]
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This study explores the influence of MD simulation cell size on the higher-order structure of polymers important for soft material sensor or actuator devices by using persistent homology as a topological method. The changes in higher-order structure caused by different cell size simulations affect the dielectric constant, highlighting the potential of persistent homology as a descriptor for polymer Materials Informatics.
The optimal method of the polymer Materials Informatics (MI) has not been developed because the amorphous nature of the higher-order structure affects these properties. We have now tried to develop the polymer MI's descriptor of the higher-order structure using persistent homology as the topological method. We have experimentally studied the influence of the MD simulation cell size as the higher-order structure of the polymer on its electrical properties important for a soft material sensor or actuator device. The all-atom MD simulation of the polymer has been calculated and the obtained atomic coordinate has been analyzed by the persistent homology. The change in the higher-order structure by different cell size simulations affects the dielectric constant, although these changes are not described by a radial distribution function (RDF). On the other hand, using the 2nd order persistent diagram (PD), it was found that when the cell size is small, the island-shaped distribution become smoother as the cell size increased. There is the same tendency for the condition of change in the monomer ratio, the polymer chain length or temperature. As a result, the persistent homology may express the higher-order structure generated by the MD simulation as a descriptor of the polymer MI.
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