81 to 90 of 121 Results
Gzip Archive - 183.7 MB -
MD5: b629e7f39299f1c474bd505aa4d66613
The training sets (VASP files), the low moment-tensor-potentials (MTPs) and high-MTPs, and the effective quasiharmonic (QH) potentials for hcp Ti using the PBE functional. |
Gzip Archive - 214.5 MB -
MD5: 35c94c1f0ebcf510ec3fb71ad4757c35
The training sets (VASP files), the low moment-tensor-potentials (MTPs) and high-MTPs, and the effective quasiharmonic (QH) potentials for bcc Zr using the PBE functional. |
Gzip Archive - 195.7 MB -
MD5: f81fc865a1417ef50d91854a35131bb8
The training sets (VASP files), the low moment-tensor-potentials (MTPs) and high-MTPs, and the effective quasiharmonic (QH) potentials for hcp Zr using the PBE functional. |
Jun 30, 2023 - PN 3-10
Xu, Xiang; Zhang, Xi; Ruban, Andrei; Schmauder, Siegfried; Grabowski, Blazej, 2023, "Replication Data for: Strong impact of spin fluctuations on the antiphase boundaries of weak itinerant ferromagnetic Ni3Al", https://doi.org/10.18419/DARUS-3579, DaRUS, V1
Data for the publication " Strong impact of spin fluctuations on the antiphase boundaries of weak itinerant ferromagnetic Ni3Al", Acta Materialia, 255, doi: 10.1016/j.actamat.2023.118986. This data set contains the training sets (VASP files), the utilized moment-tensor-potentials (MTP) and the final thermodynamic database (properties) for the three... |
Jun 30, 2023 -
Replication Data for: Strong impact of spin fluctuations on the antiphase boundaries of weak itinerant ferromagnetic Ni3Al
Plain Text - 125.8 KB -
MD5: b49021534108df4456b9dcdc4f127f49
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Jun 30, 2023 -
Replication Data for: Strong impact of spin fluctuations on the antiphase boundaries of weak itinerant ferromagnetic Ni3Al
Plain Text - 125.8 KB -
MD5: 2681d95bd34730d8c89e52aee55cb468
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Jun 30, 2023 -
Replication Data for: Strong impact of spin fluctuations on the antiphase boundaries of weak itinerant ferromagnetic Ni3Al
Plain Text - 125.7 KB -
MD5: 79caa586782d28f4eff6028ee5b12d55
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Jun 30, 2023 -
Replication Data for: Strong impact of spin fluctuations on the antiphase boundaries of weak itinerant ferromagnetic Ni3Al
Gzip Archive - 554.0 MB -
MD5: 2179eeb854d0bcaf778578d24b2c5b60
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May 26, 2023
Gubaev, Konstantin; Zaverkin, Viktor; Srinivasan, Prashanth; Duff, Andrew; Kästner, Johannes; Grabowski, Blazej, 2023, "Data for: Performance of two complementary machine-learned potentials in modelling chemically complex systems", https://doi.org/10.18419/DARUS-3516, DaRUS, V1
Data for the publication "Performance of two complementary machine-learned potentials in modelling chemically complex systems", npj. Comp. Mat. This data set contains the datasets of structures in cfg and npz formats INCAR file which was used for VASP calculations python script for reading npz format These are essentially the 2-, 3-, and 4-componen... |
May 26, 2023 -
Data for: Performance of two complementary machine-learned potentials in modelling chemically complex systems
ZIP Archive - 70.6 MB -
MD5: 53917b372f27e55e617380404c104c2b
training data with 10 cross-validation split, in cfg format |
