Results of extensive Monte-Carlo simulations for the Lennard-Jones fluid: Data for particle configurations, pair-, and triplet-correlation functions in the range of 0.002 ≤ rho* ≤ 1.41 and 0.45 ≤ T* ≤ 25

DOI

This data publication reports results of Monte-Carlo simulations, configurations, pair-, and triplet-correlation functions for a Lennard-Jones fluid. The Lennard-Jones potential (Jones 1924) u^LJ is one of the prototypes of an intermolecular interaction. Gottschalk (2019) performed 32705 NVT Monte-Carlo simulations using 1372 LJ particles (N) for a large number of densities rho a and temperatures T.
The simulations range from 0.002 ≤ rho ≤ 1.41 and 0.45 ≤ T ≤ 25 using a cut-off of 5.0 for rho ≤ 1.37 and 4.5 for rho > 1.37, respectively. At each state point, 1372 LJ particles (N = 1372) were equilibrated using 5 x 10^4 cycles and subsequently sampled for 0.75 x 10^6 cycles. One cycle did consist of 1372 trial moves, one for each particle. Every 1000 cycles the thermodynamic properties U and p are recorded as well as the current configuration of particles including the pair- and triplet-correlation functions. A total of 27615 of these simulations were in the stable and metastable single fluid phase field which is a necessary requirement.

Field boundaries, U, p and further details of the Monte-Carlo simulations are given in Gottschalk (2019). Bin widths of 0.005 for pair- and 0.04 in all directions for triplet-correlation functions were used. Further details for the calculations of the pair- and triplet-correlation functions are presented in Gottschalk (2021). All configurations of particles, pair- and triplet-correlation functions of those 27615 simulations are reported here. However, the total amount of data for configurations, pair-, and triplet-configurations is 600, 0.3, and 1170 GB, respectively.

The data are provided as zipped files and described in the data description and the associated Read-me.txt. All rho and T state points are listed in the file Conditions.txt in the top level of the files.

Identifier
DOI https://doi.org/10.5880/GFZ.3.6.2021.001
Related Identifier https://doi.org/10.1098/rspa.1924.0082
Related Identifier https://doi.org/10.1063/1.5119761
Metadata Access http://doidb.wdc-terra.org/oaip/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:doidb.wdc-terra.org:7061
Provenance
Creator Gottschalk, Matthias ORCID logo
Publisher GFZ Data Services
Contributor Gottschalk, Matthias
Publication Year 2021
Rights CC BY 4.0; http://creativecommons.org/licenses/by/4.0/
OpenAccess true
Contact Gottschalk, Matthias (GFZ German Research Centre for Geosciences, Potsdam, Germany)
Representation
Resource Type Dataset
Discipline Geosciences