Large-scale simulations data near the supercooled liquid-liquid critical point of the transferable molecular CVF model for water

DOI

The data in this dataset represent simulations of supercooled water at the liquid-liquid critical point using the transferable molecular CVF model for water. The model is described in the publication "Phase behavior of metastable water from large-scale simulations of a quantitatively accurate model near ambient conditions: The liquid-liquid critical point," which has been accepted and is in print in J. Chem. Phys. It is also available as an arXiv preprint (arXiv:2405.10181). The dataset includes all the data from the ten figures in the publication, providing everything needed to reproduce them.

The ten figures display calculations of thermodynamic averages and errors of quantities such as density, enthalpy, specific heat, compressibility, expansivity, and number of hydrogen bonds along isobars between 260 MPa and -540 MPa and temperatures between 190 K and 350 K.

Additionally, the dataset includes the source code for running the simulations of the CVF water model and the scripts required to produce the input files for the simulations and analyze the outputs. Detailed instructions for installing and using the CVF water code simulations and the scripts can be found at https://github.com/lcoronas/CVFBulkWater/.

Detailed information on the use of the code and analysis scripts are available in: https://github.com/lcoronas/CVFBulkWater/

Identifier
DOI https://doi.org/10.34810/data1755
Metadata Access https://dataverse.csuc.cat/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34810/data1755
Provenance
Creator Franzese, Giancarlo ORCID logo; Coronas, Luis Enrique ORCID logo
Publisher CORA.Repositori de Dades de Recerca
Contributor Franzese, Giancarlo; Universitat de Barcelona
Publication Year 2024
Funding Reference Ministerio de Ciencia, Innovación y Universidades (MCIN) / Agencia Estatal de Investigacion (AEI) 10.13039/ 501100011033 ; European Regional Development Fund (ERDF) PID2021-124297NB-C31 ; Ministerio de Universidades PEICTI 2021-2023 ; Universitat de Barcelona 5757200 APIF_18_19
Rights CC BY-NC-SA 4.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/licenses/by-nc-sa/4.0
OpenAccess true
Contact Franzese, Giancarlo (Universitat de Barcelona)
Representation
Resource Type Simulation data; Dataset
Format text/x-chdr; application/x-shellscript; application/x-info; application/gzip; application/x-gnuplot; application/cu-seeme; application/octet-stream; image/x-eps; text/x-fortran; text/x-fixed-field; text/vnd.wap.si; text/plain
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Version 1.0
Discipline Basic Biological and Medical Research; Biology; Biophysics; Life Sciences; Natural Sciences; Physics