Flow for Non-linear optic with DFPTΒΆ

Flow to compute non-linear optical properties with DFPT (static limit).

../_images/sphx_glr_run_nonlinear_001.png

Out:

/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.
  plt.show()

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

from abipy import abilab


minimum_abinit_version = "8.5.2"


def make_scf_input(ecut=10, ngkpt=(8, 8, 8)):
    """
    This function constructs an `AbinitInput` for performing a
    GS-SCF calculation in crystalline AlAs.

    Args:
        ecut: cutoff energy in Ha.
        ngkpt: 3 integers specifying the k-mesh for the electrons.

    Return:
        `AbinitInput` object
    """
    # Initialize the AlAs structure from an internal database. Use the pseudos shipped with AbiPy.
    gs_inp = abilab.AbinitInput(structure=abidata.structure_from_ucell("AlAs"),
                                pseudos=abidata.pseudos("13al.981214.fhi", "33as.pspnc"))

    # Set the value of the Abinit variables needed for GS runs.
    gs_inp.set_vars(
        nband=4,
        ecut=ecut,
        ngkpt=ngkpt,
        nshiftk=1,
        shiftk=[0.0, 0.0, 0.0],
        ixc=7,
        nstep=500,
        iscf=7,
        diemac=5.0,
        toldfe=1.0e-22,
        nbdbuf=0,
        kptopt=1,
    )

    gs_inp.set_mnemonics(True)
    return gs_inp


def build_flow(options):
    if not options.workdir:
        options.workdir = os.path.basename(sys.argv[0]).replace(".py", "").replace("run_", "flow_")

    scf_input = make_scf_input(ecut=10, ngkpt=(6, 6, 6))
    return flowtk.NonLinearCoeffFlow.from_scf_input(options.workdir, scf_input)


# 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
    # Temporarily disabled in v8.8.2
    options = flowtk.build_flow_main_parser().parse_args(["-w", tempfile.mkdtemp()])
    build_flow(options).graphviz_imshow()


@flowtk.flow_main
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`.
    """
    # Temporarily disabled in v8.8.2
    #return 0
    return build_flow(options)


if __name__ == "__main__":
    sys.exit(main())

Total running time of the script: ( 0 minutes 0.880 seconds)

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