511 to 520 of 793 Results
Jan 11, 2023 -
Data for: High-accuracy thermodynamic properties to the melting point from ab initio calculations aided by machine-learning potentials
Plain Text - 71.3 KB -
MD5: a313c65d6746aed9be839d3deed32472
The free energies and the final thermodynamic database (properties) for hcp Mg using the LDA functional. |
Jan 11, 2023 -
Data for: High-accuracy thermodynamic properties to the melting point from ab initio calculations aided by machine-learning potentials
Plain Text - 71.3 KB -
MD5: 10a8526588777a0e97fce7b3bf033df1
The free energies and the final thermodynamic database (properties) for hcp Mg using the PBE functional. |
Jan 11, 2023 -
Data for: High-accuracy thermodynamic properties to the melting point from ab initio calculations aided by machine-learning potentials
Plain Text - 223.3 KB -
MD5: 053991292e5763b7de677bed3531cbd3
The free energies and the final thermodynamic database (properties) for bcc Nb using the PBE functional. |
Jan 11, 2023 -
Data for: High-accuracy thermodynamic properties to the melting point from ab initio calculations aided by machine-learning potentials
Plain Text - 138.4 KB -
MD5: 0e9c88396227953c9c2b0aba2476585b
The free energies and the final thermodynamic database (properties) for fcc Ni using the PBE functional. |
Aug 26, 2022 - Institute of Thermodynamics and Thermal Process Engineering
Zimmermann, Nils Edvin Richard; Guevara-Carrion, Gabriela; Vrabec, Jadran; Hansen, Niels, 2022, "Supplementary material for 'Predicting and rationalizing the Soret coefficient of binary Lennard-Jones mixtures in the liquid state'", https://doi.org/10.18419/DARUS-2996, DaRUS, V2
Supplementary material for 'Predicting and rationalizing the Soret coefficient of binary Lennard-Jones mixtures in the liquid state' (N. E. R. Zimmermann, G. Guevara-Carrion, J. Vrabec, N. Hansen, Adv. Theory Simul., 2022) containing scripts, packages, and files to re-create and to submit LAMMPS simulations performed for non-equilibrium molecular d... |
Aug 26, 2022 -
Supplementary material for 'Predicting and rationalizing the Soret coefficient of binary Lennard-Jones mixtures in the liquid state'
MPEG-4 Video - 7.5 MB -
MD5: 013b6dc758daa1905c63217592b6e989
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Aug 26, 2022 -
Supplementary material for 'Predicting and rationalizing the Soret coefficient of binary Lennard-Jones mixtures in the liquid state'
MPEG-4 Video - 7.5 MB -
MD5: 2726bd5ea50ce9dda649d791bb4c4979
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Aug 26, 2022 -
Supplementary material for 'Predicting and rationalizing the Soret coefficient of binary Lennard-Jones mixtures in the liquid state'
Plain Text - 282 B -
MD5: 8e369040aa2eae5453d7e716f60a7c28
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Python Source Code - 5.4 KB -
MD5: 403049818d5b1e9da9208b587243ecc1
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Python Source Code - 2.2 KB -
MD5: f8652d31043358d0c4474179bf888e20
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