Flow for phonons with DFPTΒΆ

This example shows how to compute the phonon band structure of AlAs with AbiPy flows. Symmetries are taken into account: only q-points in the IBZ are generated and for each q-point only the independent atomic perturbations are computed. The final results (out_DDB, out_DVDB) will be produced automatically at the end of the run and saved in flow_phonons/outdata/.

import sys
import os
import abipy.abilab as abilab
import abipy.data as abidata

from abipy import flowtk

def make_scf_input(paral_kgb=0):
    This function constructs the input file for the GS calculation:
    # Crystalline AlAs: computation of the second derivative of the total energy
    structure = abidata.structure_from_ucell("AlAs")
    pseudos = abidata.pseudos("13al.981214.fhi", "33as.pspnc")
    gs_inp = abilab.AbinitInput(structure, pseudos=pseudos)

        ngkpt=[4, 4, 4],
        shiftk=[0.0, 0.0, 0.5,   # This gives the usual fcc Monkhorst-Pack grid
                0.0, 0.5, 0.0,
                0.5, 0.0, 0.0,
                0.5, 0.5, 0.5],
        #shiftk=[0, 0, 0],

    return gs_inp

def build_flow(options):
    Create a `Flow` for phonon calculations. The flow has two works.

    The first work contains a single GS task that produces the WFK file used in DFPT
    Then we have multiple Works that are generated automatically
    in order to compute the dynamical matrix on a [4, 4, 4] mesh.
    Symmetries are taken into account: only q-points in the IBZ are generated and
    for each q-point only the independent atomic perturbations are computed.
    # Working directory (default is the name of the script with '.py' removed and "run_" replaced by "flow_")
    if not options.workdir:
        options.workdir = os.path.basename(sys.argv[0]).replace(".py", "").replace("run_", "flow_")

    # Build input for GS calculation
    scf_input = make_scf_input()

    # Create flow to compute all the independent atomic perturbations
    # corresponding to a [4, 4, 4] q-mesh.
    # Electric field and Born effective charges are also computed.
    flow = flowtk.PhononFlow.from_scf_input(options.workdir, scf_input,
                                            ph_ngqpt=(4, 4, 4), with_becs=True)

    return flow

# This block generates the thumbnails in the AbiPy gallery.
# You can safely REMOVE this part if you are using this script for production runs.
if os.getenv("READTHEDOCS", False):
    __name__ = None
    import tempfile
    options = flowtk.build_flow_main_parser().parse_args(["-w", tempfile.mkdtemp()])

def main(options):
    This is our main function that will be invoked by the script.
    flow_main is a decorator implementing the command line interface.
    Command line args are stored in `options`.
    return build_flow(options)

if __name__ == "__main__":


/Users/gmatteo/git_repos/pymatgen/pymatgen/util/plotting.py:550: UserWarning: Matplotlib is currently using agg, which is a non-GUI backend, so cannot show the figure.

Run the script with:

run_phonons.py -s

then use:

abirun.py flow_phonons history

to get the list of actions perfomed by AbiPy to complete the flow. Note how the PhononWork has merged all the partial DDB files produced by the PhononTasks

====================================== <PhononWork, node_id=241274, workdir=flow_phonons/w1> ===============================
[Thu Dec  7 22:55:02 2017] Finalized set to True
[Thu Dec  7 22:55:02 2017] Will call mrgddb to merge [ .... ]

Now open the final DDB file with:

abiopen.py flow_phonons/outdata/out_DDB

and invoke anaddb to compute the phonon band structure and the phonon DOS with:

In [1]: phbst_file, phdos_file = abifile.anaget_phbst_and_phdos_files()
In [2]: %matplotlib
In [3]: phbst_file.plot_phbands()
Phonon band structure of AlAs.

Total running time of the script: ( 0 minutes 2.187 seconds)

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