81 to 90 of 109 Results
May 26, 2023 -
Data for: Performance of two complementary machine-learned potentials in modelling chemically complex systems
ZIP Archive - 201.0 KB -
MD5: 99ceed914dda02103fbc6e7c11f110de
testing data in cfg format |
May 26, 2023 -
Data for: Performance of two complementary machine-learned potentials in modelling chemically complex systems
Plain Text - 517 B -
MD5: 3481f8c54ebde1c13d6e016ef5b9d493
INCAR file for VASP which was used for calculations |
May 26, 2023 -
Data for: Performance of two complementary machine-learned potentials in modelling chemically complex systems
ZIP Archive - 150.8 MB -
MD5: 9bb786377c7162282fa8cbdd11d275da
training data with 10 cross-validation split, in npz format |
May 26, 2023 -
Data for: Performance of two complementary machine-learned potentials in modelling chemically complex systems
ZIP Archive - 422.9 KB -
MD5: 61b2216e1359cffb4d09edca08980e52
testing data in NPZ format |
May 26, 2023 -
Data for: Performance of two complementary machine-learned potentials in modelling chemically complex systems
Python Source Code - 238 B -
MD5: 64d14bcaa8283dca5e2c0ed59cb0b573
script which demonstrates the fields in npz files |
Plain Text - 151.5 KB -
MD5: c3180fa9ce343e958f54113dd7a0c7ae
The Gibbs energy of vacancy formation for bcc molybdenum (Mo) using the PBE functional. |
Plain Text - 172.2 KB -
MD5: 3bfd25dfb444f69e35d2ae7bc7ae64ae
The Gibbs energy of vacancy formation for bcc molybdenum (Ta) using the PBE functional. |
Plain Text - 114.3 KB -
MD5: 6474483b63be20a82521ddc1f096b058
The Gibbs energy of vacancy formation for bcc molybdenum (V) using the PBE functional. |
Plain Text - 192.9 KB -
MD5: cafa7fd60beafa4ccfb56ce314b4ced1
The Gibbs energy of vacancy formation for bcc molybdenum (W) using the PBE functional. |
Gzip Archive - 154.9 MB -
MD5: b12e85db76026b48aae31db62da5ae18
The training sets (VASP files), the low moment-tensor-potentials (MTPs) and high-MTPs, and the effective quasiharmonic (QH) potentials for bcc molybdenum (Mo) using the PBE functional. |