Lennard-Jones Fluid Properties

參考

https://www.nist.gov/mml/csd/chemical-informatics-research-group/lennard-jones-fluid-properties

The purpose of these pages is to provide some explicit results from molecular dynamics and Monte Carlo simulations for the Lennard-Jones fluid. It is intended to provide guides for testing codes. Reproducing these results is a test of the correctness of codes, either written by the user or obtained elsewhere. The explicit conditions for each of the sets of results are supplied so that meaningful comparisons of your results with the ones listed here are possible.

The information presented here has been organized into eight different pages. It is available as web pages or as a single excel file.

1. MD: NVE Molecular dynamics results at liquid-like densities along an isotherm of reduced temperature 0.85. Mean values and standard deviations of temperature, energy, pressure, and diffusion coefficient are reported.
2. LAMMPS-MD: NVT Molecular dynamics results at vapor- and liquid-like densities along isotherms of reduced temperature 0.65 - 1.20. Mean values and standard error of temperature, energy, and pressure are reported.
3. MC: NVT Monte Carlo results at both liquid- and vapor-like densities along two isotherms of reduced temperature 0.85 and 0.90. Mean values and standard deviations of energy and pressure are reported.
4. SAT-TMMC: Liquid-vapor coexistence properties obtained by grand-canonical transition-matrix Monte Carlo and histogram re-weighting [1]. Mean values and standard deviations of the saturation pressure and coexisting liquid and vapor densities, energies, and activities are reported.
   A. LJ Potential truncated at 3σ, with analytic long-range corrections, over the reduced temperature range 0.70 to 1.20 at increments of 0.05.
   B. LJ Potential with linear force shift at 2.5σ, over the reduced temperature range 0.65 to 0.90 at increments of 0.05.
   C. LJ Potential with linear force shift at 3.0σ, over the reduced temperature range 0.70 to 1.00 at increments of 0.05.
   D. LJ Potential with linear force shift at 3.5σ, over the reduced temperature range 0.70 to 1.15 at increments of 0.05.
   E. LJ Potential with linear force shift at 4.0σ, over the reduced temperature range 0.60 to 1.20 at increments of 0.05.
   F. LJ Potential cut, with no tail correction, at 5.0σ, over the reduced temperature range 0.60 to 1.25 at increments of 0.05.
5. EOS-TMMC: Equations of state (pressure as a function density) generated by grand-canonical transition-matrix Monte Carlo over the temperature range 0.70 to 1.20 and 1.35 - 1.50 at increments of 0.05. For a given density, the mean pressure and its standard deviation are reported. CPU timings and downloadable raw simulation data (particle number probability distributions) are provided here.
6. SAT-EOS: Liquid-vapor coexistence properties as determined from an empirical fit of a large amount of simulation data [2]. The data serve as an approximate guide for liquid-vapor coexistence properties at temperatures other than those investigated in Item 3. Furthermore, the empirical fit should not be used in the vicinity of the critical point.
7. SURFACE TENSION: Surface tension of the Lennard-Jones fluid at various temperatures calculated using explicit molecular dynamics of the liquid-vapor interface and the combination of finite-size scaling and grand-canonical transition-matrix Monte Carlo. The influence of truncation is also investigated in this section.
8. VAPOR-EOS-TMMC: Vapor-phase properties for the Lennard-Jones fluid, linear-force shifted at r=2.5σ obtained by grand-canonical transition-matrix Monte Carlo and histogram re-weighting [1] over the reduced temperature range 0.65 to 0.90 at increments of 0.05. Mean values and standard deviations of the saturation pressure and coexisting liquid and vapor densities, energies, and activities are reported.

As is usually the case, temperature, density (number density), pressure, etc., are given in reduced units (denoted by *). That is, these properties are expressed in terms of the characteristic energy, ε, and length scale, σ, defined by the Lennard-Jones potential:

VLJ(r)=4ϵ[(σr)12−(σr)6]

Therefore, the reduced temperature T*, density ρ*, and pressure p* are kBT/ε, ρσ3, pσ3/ε, respectively. The critical parameters for the pure LJ fluid have been determined to be Tc* = 1.3120(7), ρc* = 0.316(1), and pc* = 0.1279(6) [3].

For computational expediency, the potential and force are usually truncated at some cutoff distance rc. That is, the effective potential V(r) is

V(r)={VLJ(r)0r≤rcr>rc

In this work, the cutoff distance is taken to be 3σ, unless noted otherwise. An approximate correction for this truncation to the energy and pressure of the system can be obtained by assuming the spatial correlations beyond the cutoff distance are unity. The reader is referred to Refs. [4] and [5] for these so-called "standard long range corrections" (sLRC). It should be noted that this not a good assumption in inhomogeneous fluids. For completeness, the working expressions for obtaining the long range corrections to the potential energy per particle and virial pressure are provided below:

ULRC=124πρ∫∞rcdr r2 VLJ(r)

pLRC=−(12)(13)4πρ2∫∞rcdr r2 r dVLJ(r)dr

where ρ is the bulk number density, VLJ(r) is the Lennard-Jones potential energy, and rc is the truncation (cutoff) distance. A subtle point to note is that the above pressure correction does not account for impulsive effects at rc where the potential energy (and therefore the force) changes discontinuously. This is particularly important when trying to simulate directly interfacial phenomena [6]. Finally, it should be mentioned that other truncation and long range correction schemes for dealing with non-bonded interactions exist [4-8]. In some cases, the truncation schemes can yield critical properties that differ from those quoted above [8].

In future versions, coordinate sets will be available for which the potential energy per particle and the virial are specified. This information can be used to test energy/force routines.

References

1. J. R. Errington, J. Chem. Phys. 118, 9915 (2003).
2. J. K. Johnson, J. A. Zollweg, and K. E. Gubbins, Mol. Phys. 78, 591 (1993).
3. J. J. Potoff and A. Z. Panagiotopoulos, J. Chem. Phys. 109, 10914 (1998).
4. M. P. Allen and D. J. Tildesley, Computer Simulation of Liquids (Oxford University Press, New York, 1989).
5. D. Frenkel and B. Smit, Understanding Molecular Simulation, 2nd ed. (Academic, San Diego, 2002)., pp.37-38.
6. A. Trkohymchuk and J. Alejandre, J. Chem. Phys. 111, 8510 (1999).
7. D. N. Theodorou and U. W. Suter, J. Chem. Phys. 82, 955 (1985).
8. B. Smit, J. Chem. Phys. 96, 8639 (1992).