hello-qm/catgo-lrg/dos

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Density of states (DOS) workflow in VASP. Three-step process for accurate total and projected DOS, d-band center analysis.

Install

npx vskill@latest install hello-qm/catgo-lrg/dos

SKILL.md

VASP Density of States (DOS) Calculation

Compute total and projected density of states. Requires a three-step workflow: geometry optimization, self-consistent single point, and DOS analysis.

Why Three Steps?

  1. geo_opt — relax the structure to equilibrium
  2. single_point — SCF with ISMEAR=-5 (tetrahedron method) and high NEDOS for accurate DOS
  3. dos_analysis — extract d-band center, orbital projections, and plot data

The tetrahedron method (ISMEAR=-5) gives the most accurate DOS but is incompatible with geometry optimization (forces are not well-defined). That is why a separate single point is needed.

Full DOS Workflow

python
from catgo.workflow import Workflow
from catgo.workflow.builtins import geo_opt, single_point, dos_analysis
wf = Workflow("RuO2 DOS")
struct = wf.add_task("structure_input", structure=structure_json)
# Step 1: Optimize geometry
opt = wf.add_task(geo_opt, structure=struct.output.structure,
ISIF=2, system_name="relax")
# Step 2: Single point with DOS settings
sp = wf.add_task(single_point, structure=opt.output.structure,
ISMEAR=-5, # Tetrahedron method with Blochl corrections
NEDOS=3001, # Dense energy grid (default is 301)
LORBIT=11, # Projected DOS per atom and orbital
LCHARG=True, # Write charge density
EDIFF=1e-6, # Tight convergence
system_name="DOS")
# Step 3: Analyze DOS
dos = wf.add_task(dos_analysis, data=sp.output.energy,
d_band=True, system_name="DOS_analysis")
wf.submit()

MCP Workflow

# Create workflow
catgo_workflow_engine(action="create", params={"name": "DOS calculation"})
# Step 1: Input structure
catgo_workflow_engine(action="add_task", params={
"workflow_id": "wf_xxx",
"task_type": "structure_input",
"structure": "<json>"
})
# Step 2: Geometry optimization
catgo_workflow_engine(action="add_task", params={
"workflow_id": "wf_xxx",
"task_type": "geo_opt",
"software": "vasp",
"structure": "{{t_001.output.structure}}",
"system_name": "relax"
})
# Step 3: Single point for DOS
catgo_workflow_engine(action="add_task", params={
"workflow_id": "wf_xxx",
"task_type": "single_point",
"software": "vasp",
"structure": "{{t_002.output.structure}}",
"ISMEAR": -5,
"NEDOS": 3001,
"LORBIT": 11,
"LCHARG": true,
"EDIFF": 1e-6,
"system_name": "DOS"
})
# Step 4: DOS analysis
catgo_workflow_engine(action="add_task", params={
"workflow_id": "wf_xxx",
"task_type": "dos_analysis",
"data": "{{t_003.output.energy}}",
"d_band": true,
"system_name": "DOS_analysis"
})
catgo_workflow_engine(action="submit", params={"workflow_id": "wf_xxx"})

Key DOS Parameters

ParameterValuePurpose
ISMEAR-5Tetrahedron method — accurate DOS integration
NEDOS3001Energy grid points (more = smoother DOS)
LORBIT11Write atom-projected and orbital-projected DOS
EMIN/EMAXautoEnergy range (auto-detected from eigenvalues)
LCHARGTrueWrite CHGCAR for post-processing

ISMEAR=-5 Requirements

  • Requires at least 3 k-points in each periodic direction
  • Do NOT use for Gamma-only calculations (use ISMEAR=0 instead)
  • Do NOT use during geometry optimization (forces are inaccurate)
  • For metals with few k-points, use ISMEAR=1, SIGMA=0.2 and accept slightly noisier DOS

d-Band Center Analysis

The dos_analysis task computes the d-band center for transition metals:

d_band_center = integral(rho_d(E) * E dE) / integral(rho_d(E) dE)

This is valuable for catalysis studies (Norskov d-band model). The analysis automatically identifies transition metal atoms and extracts their d-orbital projected DOS.

Spin-Polarized DOS

For magnetic systems, set ISPIN=2 to get spin-up and spin-down DOS separately:

python
sp = wf.add_task(single_point, structure=opt.output.structure,
ISMEAR=-5, NEDOS=3001, LORBIT=11,
ISPIN=2,
MAGMOM="4*5.0 8*0.6", # Initial moments
system_name="DOS_spin")

Partial DOS (PDOS) for Specific Atoms

LORBIT=11 writes per-atom projections. The dos_analysis task can extract DOS for specific atoms or orbitals. Common use cases:

  • Surface vs bulk atoms: compare DOS of surface layer vs interior
  • Adsorbate bonding: compare adsorbate p-states with metal d-states
  • Alloying effects: compare d-band of alloy components

Skip Optimization (Pre-Optimized Structure)

If the structure is already optimized, skip step 1:

python
wf = Workflow("DOS only")
struct = wf.add_task("structure_input", structure=optimized_json)
sp = wf.add_task(single_point, structure=struct.output.structure,
ISMEAR=-5, NEDOS=3001, LORBIT=11,
system_name="DOS")
wf.submit()

Troubleshooting

ProblemFix
Noisy/spiky DOSIncrease NEDOS (try 5001), use ISMEAR=-5
ISMEAR=-5 errorNeed >= 3 k-points per direction. Increase k-mesh
No d-band centerdos_analysis only computes d-band for transition metals
DOS looks wrongCheck that SCF is converged (EDIFF=1e-6), check ISPIN for magnetic systems
Fermi level misplacedVASP sets E_F automatically; verify with band structure

Output

The single_point task produces raw DOSCAR data. The dos_analysis task produces:

  • output.dos_data — total and projected DOS as plottable arrays
  • d-band center, d-band width, and band gap (if applicable)

Security

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Source

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Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 6 Sep 2026, a month ago.

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