pyiron.vasp.metadyn module

class pyiron.vasp.metadyn.MetadynInput[source]

Bases: pyiron.vasp.base.Input

from_hdf(hdf)[source]

Reads the attributes and reconstructs the object from a hdf file

Parameters

hdf – The hdf5 instance

to_hdf(hdf)[source]

Save the object in a HDF5 file

Parameters

hdf (pyiron.base.generic.hdfio.ProjectHDFio) – HDF path to which the object is to be saved

write(structure, modified_elements, directory=None)[source]

Writes all the input files to a specified directory

Parameters

  • structure (atomistics.structure.atoms.Atoms instance) – Structure to be written

  • directory (str) – The working directory for the VASP run

class pyiron.vasp.metadyn.MetadynOutput[source]

Bases: pyiron.vasp.base.Output

collect(directory='/home/docs/checkouts/readthedocs.org/user_builds/pyiron/checkouts/pyiron-0.2.17/docs', sorted_indices=None)[source]

Collects output from the working directory

Parameters

  • directory (str) – Path to the directory

  • sorted_indices (np.array/None) –

to_hdf(hdf)[source]

Save the object in a HDF5 file

Parameters

hdf (pyiron.base.generic.hdfio.ProjectHDFio) – HDF path to which the object is to be saved

class pyiron.vasp.metadyn.VaspMetadyn(project, job_name)[source]

Bases: pyiron.vasp.vasp.Vasp

Class to setup and run and analyze VASP and VASP metadynamics simulations. For more details see the appropriate VASP documentation

This class is a derivative of pyiron.objects.job.generic.GenericJob. The functions in these modules are written in such the function names and attributes are very generic (get_structure(), molecular_dynamics(), version) but the functions are written to handle VASP specific input/output.

Parameters

  • project (pyiron.project.Project instance) – Specifies the project path among other attributes

  • job_name (str) – Name of the job

Examples

Let’s say you need to run a vasp simulation where you would like to control the input parameters manually. To set up a static dft run with Gaussian smearing and a k-point MP mesh of [6, 6, 6]. You would have to set it up as shown below:

>>> ham = Vasp(job_name="trial_job")
>>> ham.input.incar[IBRION] = -1
>>> ham.input.incar[ISMEAR] = 0
>>> ham.input.kpoints.set(size_of_mesh=[6, 6, 6])

However, the according to pyiron’s philosophy, it is recommended to avoid using code specific tags like IBRION, ISMEAR etc. Therefore the recommended way to set this calculation is as follows:

>>> ham = Vasp(job_name="trial_job")
>>> ham.calc_static()
>>> ham.set_occupancy_smearing(smearing="gaussian")
>>> ham.set_kpoints(mesh=[6, 6, 6])
The exact same tags as in the first examples are set automatically.
from_hdf(hdf=None, group_name=None)[source]

Recreates instance from the hdf5 file

Parameters
set_complex_constraint(name, constraint_type, coefficient_dict, biased=False, increment=0.0)[source]

Set complex constraints based on defined primitive constraints.

Parameters

  • name (str) – Name of the complex constraint

  • constraint_type (str) – Type of the constraint (has to be part of supported_complex_constraints

  • coefficient_dict (dict) – Dictionary containing the primitive constraint name as the key and the constraint coefficient as the values

  • biased (bool) – True if potential bias is to be applied (biased MD and metadynamics calculations)

  • increment (float) – Increment in the constraint variable at every time step

set_primitive_constraint(name, constraint_type, atom_indices, biased=False, increment=0.0)[source]

Function to set primitive geometric constraints in VASP.

Parameters

  • name (str) – Name of the constraint

  • constraint_type (str) – Type of the constraint (has to be part of supported_primitive_constraints

  • atom_indices (int/list/numpy.ndarray) – Indices of the atoms for which the constraint should be applied

  • biased (bool) – True if potential bias is to be applied (biased MD and metadynamics calculations)

  • increment (float) – Increment in the constraint variable at every time step

to_hdf(hdf=None, group_name=None)[source]

Stores the instance attributes into the hdf5 file

Parameters
write_constraints()[source]

Function to write constraint parameters in the INCAR and ICONST files

write_input()[source]

Call routines that generate the INCAR, POTCAR, KPOINTS and POSCAR input files