Projected density of states (PDOS)
For the source code, see pdos.
Visualizing the WorkGraph Builder
[1]:
from workgraph_collections.qe.pdos import pdos_workgraph
from aiida import load_profile
load_profile()
task = pdos_workgraph.task()
task.to_html()
[1]:
Visualizing the WorkGraph
[1]:
from workgraph_collections.qe.pdos import pdos_workgraph
from aiida import load_profile
load_profile()
wg = pdos_workgraph(run_relax=True, run_scf=True)
wg.to_html()
[1]:
Example: Silicon
Prepare the inputs and submit the workflow
[3]:
from copy import deepcopy
from aiida import load_profile
from aiida.orm import Dict, KpointsData, StructureData, load_code, load_group
from ase.build import bulk
from workgraph_collections.qe.pdos import pdos_workgraph
load_profile()
atoms = bulk('Si')
structure_si = StructureData(ase=atoms)
pw_code = load_code('qe-7.2-pw@localhost')
dos_code = load_code('qe-7.2-dos@localhost')
projwfc_code = load_code('qe-7.2-projwfc@localhost')
paras = {
'CONTROL': {
'calculation': 'scf',
},
'SYSTEM': {
'ecutwfc': 30,
'ecutrho': 240,
'occupations': 'smearing',
'smearing': 'gaussian',
'degauss': 0.1,
},
}
nscf_paras = deepcopy(paras)
nscf_paras['CONTROL']['calculation'] = 'nscf'
kpoints = KpointsData()
kpoints.set_kpoints_mesh([3, 3, 3])
#
metadata = {
'options': {
'resources': {
'num_machines': 1,
'num_mpiprocs_per_machine': 1,
},
}
}
pdos_inputs = {
'scf': {
'pw': {
'parameters': Dict(paras),
'metadata': metadata,
},
'kpoints': kpoints,
},
'nscf': {
'pw': {
'parameters': Dict(nscf_paras),
'metadata': metadata,
},
'kpoints': kpoints,
},
'dos': {
'metadata': metadata,
},
'projwfc': {
'metadata': metadata,
},
}
wg = pdos_workgraph(structure=structure_si,
pw_code=pw_code,
dos_code=dos_code,
projwfc_code=projwfc_code,
inputs=pdos_inputs,
pseudo_family='SSSP/1.3/PBEsol/efficiency',
run_scf=True,
)
wg.name = 'scf_and_pdos'
wg.submit()
WorkGraph process created, PK: 16034
[3]:
<WorkChainNode: uuid: cf4aca1d-42de-4aa2-8636-28b04bf74b6a (pk: 16034) (aiida_workgraph.engine.workgraph.WorkGraphEngine)>