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  • 标题:Efficient compressed database of equilibrated configurations of ring-linear polymer blends for MD simulations
  • 本地全文:下载
  • 作者:Katsumi Hagita ; Takahiro Murashima ; Masao Ogino
  • 期刊名称:Scientific Data
  • 电子版ISSN:2052-4463
  • 出版年度:2022
  • 卷号:9
  • 期号:1
  • 页码:1-9
  • DOI:10.1038/s41597-022-01138-3
  • 语种:English
  • 出版社:Nature Publishing Group
  • 摘要:To efectively archive confguration data during molecular dynamics (MD) simulations of polymer systems, we present an efcient compression method with good numerical accuracy that preserves the topology of ring-linear polymer blends . To compress the fraction of foating-point data, we used the Jointed Hierarchical Precision Compression Number - Data Format (JHPCN-DF) method to apply zero padding for the tailing fraction bits, which did not afect the numerical accuracy, then compressed the data with Hufman coding . We also provided a dataset of well-equilibrated confgurations of MD simulations for ring-linear polymer blends with various lengths of linear and ring polymers, including ring complexes composed of multiple rings such as polycatenane . We executed 109 MD steps to obtain 150 equilibrated confgurations . The combination of JHPCN-DF and SZ compression achieved the best compression ratio for all cases . Therefore, the proposed method enables efcient archiving of MD trajectories . Moreover, the publicly available dataset of ring-linear polymer blends can be employed for studies of mathematical methods, including topology analysis and data compression, as well as MD simulations .
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