IO functions¶

There functions for reading and writing input and output files (see e.g., calorine.io.convert_gpumd_run_to_traj(), calorine.io.read_xyz(), calorine.io.write_xyz()). There are also functions for reading individual kappa.out and thermo.out files (calorine.io.read_kappa() and calorine.io.read_thermo()), series of those files (calorine.io.read_kappas() and calorine.io.read_thermos()) as well as configuration files (calorine.io.read_settings()).

Thermal conductivity runs¶

When organizing results from many thermal conductivity runs it is recommended to use ASE databases. calorine provides specific functions for this purpose (calorine.io.update_database() and calorine.io.read_from_database()). For these functions to operate smoothly the GPUMD runs ought to be organized in a directory structured as follows:

<runpath>
├── xyz.in
├── run.in
├── 01
│   ├── kappa.out
│   └── thermo.out
├── 02
│   ├── kappa.out
│   └── thermo.out
├── 03
│   ├── kappa.out
│   └── thermo.out
⋮

The subdirectory names (01, 02 … in the example above) are imaterial. Alternatively one can also read the settings from a Python module (named config) instead of the GPUMD configuration file (named run.in).

The calorine.io.update_database() function parses such a directory structure and turns it into a database entry:

index = update_database('runs.db', 'gpumd_runs/T300')

The entry can be subsequently read and unpacked using the calorine.io.read_from_database() function as follows:

db = connect('runs.db')
row = db.get(id=1)
settings, kappas, thermos = read_from_database(row)

Module¶

calorine.io.read_hac(filename)[source]¶

Parses a file in hac.out format from GPUMD and returns the content as a data frame. More information concerning file format, content and units can be found at https://gpumd.zheyongfan.org/index.php/The_hac.out_output_file.

Parameters: filename (str) – input file name
Return type: DataFrame

calorine.io.read_kappa(filename)[source]¶

Parses a file in kappa.out format from GPUMD and returns the content as a data frame. More information concerning file format, content and units can be found at https://gpumd.zheyongfan.org/index.php/The_kappa.out_output_file.

Parameters: filename (str) – input file name
Return type: DataFrame

calorine.io.read_loss(filename)[source]¶

Parses a file in loss.out format from GPUMD and returns the content as a data frame. More information concerning file format, content and units can be found at https://gpumd.zheyongfan.org/index.php/The_output_files_for_the_nep_executable#The_loss.out_file.

Parameters: filename (str) – input file name
Return type: DataFrame

calorine.io.read_nep(filename)[source]¶

Parses a file in nep.txt format from GPUMD and returns the content as a tuple of a dict and a list. The dict contains the information contained in the header, whereas the list contains the weights and rescaling factors.

Parameters: filename (str) – input file name
Return type: Tuple[Dict[str, tuple], List[float]]

calorine.io.read_settings(filename)[source]¶

Returns the settings from a configuration file as a dictionary.

Parameters: filename (str) – input file name
Return type: dict

calorine.io.read_thermo(filename, natoms=1)[source]¶

Parses a file in thermo.out format from GPUMD and returns the content as a data frame. More information concerning file format, content and units can be found at https://gpumd.zheyongfan.org/index.php/The_thermo.out_output_file.

Parameters

filename (str) – input file name
natoms (int) – number of atoms; used to normalize energies

Return type

DataFrame

calorine.io.read_xyz(filename)[source]¶

Read the structure input file (xyz.in) for GPUMD and return the structure along with run input parameters from the file.

Parameters: filename (str) – Name of file from which to read the structure
Return type: tuple comprising the structure and the parameters from the first row of the file

calorine.io.write_xyz(filename, structure, maximum_neighbors=None, cutoff=None, groupings=None, use_triclinic=False)[source]¶

Writes a structure into GPUMD input format (xyz.in).

Parameters

filename (str) – Name of file to which the structure should be written
structure (Atoms) – Input structure
maximum_neighbors (Optional[int]) – Maximum number of neighbors any atom can ever have (not relevant when using force constant potentials)
cutoff (Optional[float]) – Initial cutoff distance used for building the neighbor list (not relevant when using force constant potentials)
groupings (Optional[List[List[List[int]]]]) – Groups into which the individual atoms should be divided in the form of a list of list of lists. Specifically, the outer list corresponds to the grouping methods, of which there can be three at the most, which contains a list of groups in the form of lists of site indices. The sum of the lengths of the latter must be the same as the total number of atoms.
use_triclinic (bool) – Use format for triclinic cells

Raises

ValueError – Raised if parameters are incompatible