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  • 标题:Coarse graining from variationally enhanced sampling applied to the Ginzburg–Landau model
  • 本地全文:下载
  • 作者:Michele Invernizzi ; Omar Valsson ; Michele Parrinello
  • 期刊名称:Proceedings of the National Academy of Sciences
  • 印刷版ISSN:0027-8424
  • 电子版ISSN:1091-6490
  • 出版年度:2017
  • 卷号:114
  • 期号:13
  • 页码:3370-3374
  • DOI:10.1073/pnas.1618455114
  • 语种:English
  • 出版社:The National Academy of Sciences of the United States of America
  • 摘要:A powerful way to deal with a complex system is to build a coarse-grained model capable of catching its main physical features, while being computationally affordable. Inevitably, such coarse-grained models introduce a set of phenomenological parameters, which are often not easily deducible from the underlying atomistic system. We present a unique approach to the calculation of these parameters, based on the recently introduced variationally enhanced sampling method. It allows us to obtain the parameters from atomistic simulations, providing thus a direct connection between the microscopic and the mesoscopic scale. The coarse-grained model we consider is that of Ginzburg–Landau, valid around a second-order critical point. In particular, we use it to describe a Lennard–Jones fluid in the region close to the liquid–vapor critical point. The procedure is general and can be adapted to other coarse-grained models.
  • 关键词:coarse graining ; enhanced sampling ; Ginzburg–Landau free energy ; second-order phase transitions ; Lennard–Jones
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