Data from "Transferability of data-driven, many-body models for CO2 simulations in the vapor and liquid phases"

Yue, Shuwen; Riera, Marc
Issue date: 30 March 2022
Cite as:
Yue, Shuwen & Riera, Marc. (2022). Data from "Transferability of data-driven, many-body models for CO2 simulations in the vapor and liquid phases" [Data set]. Princeton University. https://doi.org/10.34770/1yv3-0a21
@electronic{yue_shuwen_2022,
  author      = {Yue, Shuwen and
                Riera, Marc},
  title       = {{Data from "Transferability of data-drive
                n, many-body models for CO2 simulations
                in the vapor and liquid phases"}},
  publisher   = {{Princeton University}},
  year        = 2022,
  url         = {https://doi.org/10.34770/1yv3-0a21}
}
Abstract:

This dataset comprises of data associated with the publication "Transferability of data-driven, many-body models for CO2 simulations in the vapor and liquid phases", which can be found at https://doi.org/10.1063/5.0080061. The data includes calculations for a Many-Body decomposition, virial coefficient calculations, orientational molecular scan energies, potential energy fields, correlation plots of training and testing data, vapor-liquid equilibrium simulations, liquid density simulations, and solid cell simulations.

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Description:

This dataset is too large to download directly from this item page. You can access and download the data via Globus at this link: https://app.globus.org/file-manager?origin_id=dc43f461-0ca7-4203-848c-33a9fc00a464&origin_path=%2F1yv3-0a21%2F (See https://docs.globus.org/how-to/get-started/ for instructions on how to use Globus; sign-in is required).

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