1 to 10 of 114 Results
Jun 17, 2025 -
Data for: Impact of N on the Stacking Fault Energy and Phase Stability of FCC CrMnFeCoNi: An Ab Initio Study
Gzip Archive - 28.4 KB -
MD5: 9964051b2c3b8db48d0058c306967295
VASP input and output files for an N2 molecule |
Jun 17, 2025 -
Data for: Impact of N on the Stacking Fault Energy and Phase Stability of FCC CrMnFeCoNi: An Ab Initio Study
Gzip Archive - 659.5 MB -
MD5: 39724c85545f1a39975ec87c6f643b2e
VASP input and output files for CrMnFeCoNi without interstitial N |
Jun 17, 2025 -
Data for: Impact of N on the Stacking Fault Energy and Phase Stability of FCC CrMnFeCoNi: An Ab Initio Study
Gzip Archive - 6.0 GB -
MD5: 1b7dc4fcfda92add35a684555f2748c5
VASP input and output files for CrMnFeCoNi with N at the octahedral sites |
Jun 17, 2025 -
Data for: Impact of N on the Stacking Fault Energy and Phase Stability of FCC CrMnFeCoNi: An Ab Initio Study
Gzip Archive - 4.7 GB -
MD5: baa4ad21f5f35117b93d4d73b111c400
VASP input and output files for CrMnFeCoNi with N at the tetrahedral sites |
Jan 22, 2025 -
Data for: Ab initio machine-learning unveils strong anharmonicity in non-Arrhenius self-diffusion of tungsten
ZIP Archive - 2.4 KB -
MD5: d35f986a660e6a0e85b9a0835f764de8
DFT input files for various calculations: INCARs and KPOINTS |
Nov 11, 2024 -
Data for: Ab initio machine-learning unveils strong anharmonicity in non-Arrhenius self-diffusion of tungsten
ZIP Archive - 13.1 MB -
MD5: 4f1b005bb20cbed2bc070f9717ef574b
All Hessian Matrix files for thermodynamic integration |
Nov 11, 2024 -
Data for: Ab initio machine-learning unveils strong anharmonicity in non-Arrhenius self-diffusion of tungsten
ZIP Archive - 32.5 KB -
MD5: a56b391cbf1092bd61d6f24efafcd018
All imaginary mode files for transition state |
Nov 11, 2024 -
Data for: Ab initio machine-learning unveils strong anharmonicity in non-Arrhenius self-diffusion of tungsten
Fixed Field Text Data - 102 B -
MD5: 8e7ff7329a52855e2dc501f30332585f
Utilized lattice expansion |
Nov 11, 2024 -
Data for: Ab initio machine-learning unveils strong anharmonicity in non-Arrhenius self-diffusion of tungsten
Plain Text - 745.0 KB -
MD5: d91a6fc1cfcc8b3f529795f431879778
Finally optimized moment tensor potential file |
Nov 11, 2024 -
Data for: Ab initio machine-learning unveils strong anharmonicity in non-Arrhenius self-diffusion of tungsten
Plain Text - 32.7 MB -
MD5: 298a742a3798cf8d7321f86c95a651f4
Training dataset for 24g MTP (2591 cfgs in total) |