4.4 Article Proceedings Paper

Equation of state for the Lennard-Jones truncated and shifted fluid with a cut-off radius of 2.5σ based on perturbation theory and its applications to interfacial thermodynamics

Journal

MOLECULAR PHYSICS
Volume 116, Issue 15-16, Pages 2083-2094

Publisher

TAYLOR & FRANCIS LTD
DOI: 10.1080/00268976.2018.1447153

Keywords

Equation of state; Lennard-Jones truncated and shifted; molecular dynamics simulation; density gradient theory; density functional theory

Funding

  1. Deutsche Forschungsgemeinschaft (DFG) [CRC926]
  2. European Research Council under the European Union's Horizon 2020 [694807]
  3. Regional University Computing Center Kaiserslautern (RHRK)
  4. High Performance Computing Center Stuttgart (HLRS)
  5. Leibniz Supercomputing Centre (LRZ) [SPARLAMPE (pr48te)]
  6. European Research Council (ERC) [694807] Funding Source: European Research Council (ERC)

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An equation of state is presented for describing thermodynamic properties of the Lennard-Jones truncated and shifted (LJTS) potential with a cut-off radius of 2.5 sigma. It is developed using perturbation theory with a hard-sphere reference term and labelled with the acronym PeTS (perturbed truncated and shifted). The PeTS equation of state describes the properties of the bulk liquid and vapour and the corresponding equilibrium of the LJTS fluid well. Furthermore, it is developed so that it can be used safely in the entire metastable and unstable region, which is an advantage compared to existing LJTS equations of state. This makes the PeTS equation of state an interesting candidate for studies of interfacial properties. The PeTS equation of state is applied here in two theories of interfaces, namely density gradient theory (DGT) and density functional theory (DFT). The influence parameter of DGT as well as the interaction averaging diameter of DFT are fitted to data of the surface tension of the LJTS fluid obtained from molecular simulation. The results from both theories agree very well with those from the molecular simulations. [GRAPHICS] .

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