This file is automatically generated. It contains the descriptions of each uploaded file as provided by the user.
DB_bccFe_Dragoni.tar.gz: Training database for α-iron: the database contains atomic positions and cell vectors in Cartesian coordinates along with the corresponding energies (plus forces or stresses when available) obtained from first-principles calculations. Data are reported in a XYZ format. The database can be partitioned into 8 sub-databases covering different local atomic environments as discussed in the README.txt included in the download file. Approximately 100,000 environments are included. All ab-initio calculations are performed with the Quantum Espresso package using an ultrasoft pseudopotential from the PSlibrary which best reproduces all-electron equilibrium properties of the crystal. The choice of k-points sampling and cutoffs is crucial in order to generate a homogeneous and accurate database. These are selected as to ensure, across the entire database, a convergence of energy differences (per atom), forces and stresses within 1 meV, 0.01 eV/Ang and 0.1 GPa respectively.
DB1 - distorted primitive cells
DB2 - bulk vibrations
DB3 - monovacancy
DB4 - double vacancies
DB5 - tri-vacancies and "small" cluster-vacancies
DB6 - Self-interstitials
DB7 - Bulk-terminated surfaces (100, 110, 111, 211)
DB8 - gamma surfaces (110, 211)
gp2016.tar.gz: GAP potential for α-iron trained on the first-principles database described above. The tar.gz consists of two files, gp33b.xml and gp33b.xml.sparseX.GAP_2016_10_3_60_19_29_10_8911. The .xml file contains all the technical details of the potential, including the configurations actually used for training. The "sparse" file contains the basis set which is used to construct the potential. Both files are necessary for running calculations with the QUIP+GAP code (http://www.github.com/libAtoms/QUIP) and the LAMMPS package.