23,831 to 23,840 of 25,353 Results
Markdown Text - 1.8 KB -
MD5: cd0f7e2613e482ee142ff6a2ec32f628
|
Plain Text - 13 B -
MD5: 1d2a079d610f8ec35da9af81527049d9
|
Tabular Data - 3.8 MB - 66 Variables, 3901 Observations - UNF:6:uq91RKWg4fDfvG9TqWW6YQ==
|
Tabular Data - 3.8 MB - 66 Variables, 3901 Observations - UNF:6:Sk+xA42f33HBA7XHhDk4mg==
|
Tabular Data - 59.0 MB - 66 Variables, 60520 Observations - UNF:6:1HPoAEcon31ZNFCMl2XPcA==
|
Tabular Data - 440.0 MB - 66 Variables, 451286 Observations - UNF:6:mvb2uMSyLvCaGYzxXdCSfQ==
|
Jan 11, 2023 -
Data for: High-accuracy thermodynamic properties to the melting point from ab initio calculations aided by machine-learning potentials
Gzip Archive - 66.7 MB -
MD5: 96d9e0e99ff31894f8edf7d35aeec759
The training sets (VASP files), the low moment-tensor-potentials (MTPs) and high-MTPs, and the effective quasiharmonic (QH) potentials for fcc Al 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
Gzip Archive - 63.9 MB -
MD5: d81a43c176663737adeedebfa9a4fddf
The training sets (VASP files), the low moment-tensor-potentials (MTPs) and high-MTPs, and the effective quasiharmonic (QH) potentials for fcc Al 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
Gzip Archive - 28.7 MB -
MD5: 99759fecf1596bb8f9a614bfdce2adb3
The training sets (VASP files), the low moment-tensor-potentials (MTPs) and high-MTPs, and the effective quasiharmonic (QH) potentials 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
Gzip Archive - 51.9 MB -
MD5: 7af28e5fcbcd930791d037ffe30597d1
The training sets (VASP files), the low moment-tensor-potentials (MTPs) and high-MTPs, and the effective quasiharmonic (QH) potentials for hcp Mg using the PBE functional. |
