Phonons with WFQ files (q-mesh denser than k-mesh)ΒΆ

This example shows how to use WFQ files to compute phonons on a q-mesh that is not necessarily commensurate with the k-mesh used for electrons. Symmetries are taken into account: only q-points in the IBZ are generated. Moreover WFQ files are computed only if k + q does not belong to the initial mesh 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 the outdata/ of the work.

import sys
import os
import abipy.abilab as abilab
import 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=[2, 2, 2],
        shiftk=[0, 0, 0],
        #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],

    return gs_inp

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

    flow = flowtk.Flow(workdir=options.workdir)

    # Build input for GS calculation and create first work with 1 ScfTask.
    scf_input = make_scf_input()
    work = flow.register_scf_task(scf_input)
    scf_task = work[0]

    # Create work for phonon calculation with WFQ files with a [4, 4, 4] q-mesh.
    # Electric field and Born effective charges are also computed.
    wfkq_work = flowtk.PhononWfkqWork.from_scf_task(scf_task, 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__":
run phonons wkq

Run the script with: -s

then use: flow_phonons_wkq history

to get the list of actions perfomed by AbiPy to complete the flow. Note how the PhononWfkqWork has merged all the partial DDB/DVDB files and removed the WFQ files at runtime to optimize the disk space.

============================= <PhononWfkqWork, node_id=360036, workdir=flow_phonons_wkq/w1> =============================
[Tue Sep 18 00:04:18 2018] Removing WFQ: flow_phonons_wkq/w1/t5/outdata/out_WFQ
[Tue Sep 18 00:04:54 2018] Removing WFQ: flow_phonons_wkq/w1/t14/outdata/out_WFQ

Now open the final DDB file with: flow_phonons_wkq/w1/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 1.770 seconds)

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