VASP Band Structure Calculation
SkillDev toolsCompute electronic band structure along high-symmetry k-point paths. Requires a two-step process: self-consistent charge density, then non-SCF calculation along the k-path.
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About this capability
VASP band structure calculation. Two-step workflow with SCF charge density followed by non-SCF band calculation along high-symmetry k-path.
What this skill tells your AI
The instructions your AI receives, as published by hello-qm/catgo-lrg in .claude/skills/vasp-band/SKILL.md and read by ahel’s review.
Compute electronic band structure along high-symmetry k-point paths. Requires a two-step process: self-consistent charge density, then non-SCF calculation along the k-path.
Why Two Steps?
- Single point (SCF) — compute self-consistent charge density with a uniform k-mesh
- Band calculation (non-SCF) — read the converged CHGCAR and compute eigenvalues along the high-symmetry k-path without updating the charge density
This separation is necessary because the high-symmetry k-path does not provide uniform Brillouin zone sampling needed for SCF convergence.
Full Band Structure Workflow
from catgo.workflow import Workflow
from catgo.workflow.builtins import geo_opt, single_point
wf = Workflow("TiO2 band structure")
struct = wf.add_task("structure_input", structure=structure_json)
# Step 1: Optimize (skip if already relaxed)
opt = wf.add_task(geo_opt, structure=struct.output.structure,
ISIF=3, system_name="relax")
# Step 2: SCF single point to generate CHGCAR
scf = wf.add_task(single_point, structure=opt.output.structure,
LCHARG=True, # Write CHGCAR
EDIFF=1e-6, # Tight convergence
system_name="SCF")
# Step 3: Non-SCF band calculation
band = wf.add_task(single_point, structure=opt.output.structure,
ICHARG=11, # Read CHGCAR, do not update
LORBIT=11, # Projected band character
LCHARG=False,
LWAVE=False,
kpath_mode="auto", # Auto-detect high-symmetry path
kpath_density=40, # Points per segment
system_name="bands")
wf.submit()
MCP Workflow
catgo_workflow_engine(action="create", params={"name": "Band structure"})
# Input structure
catgo_workflow_engine(action="add_task", params={
"workflow_id": "wf_xxx",
"task_type": "structure_input",
"structure": "<json>"
})
# SCF single point
catgo_workflow_engine(action="add_task", params={
"workflow_id": "wf_xxx",
"task_type": "single_point",
"software": "vasp",
"structure": "{{t_001.output.structure}}",
"LCHARG": true,
"EDIFF": 1e-6,
"system_name": "SCF"
})
# Non-SCF band calculation
catgo_workflow_engine(action="add_task", params={
"workflow_id": "wf_xxx",
"task_type": "single_point",
"software": "vasp",
"structure": "{{t_001.output.structure}}",
"ICHARG": 11,
"LORBIT": 11,
"kpath_mode": "auto",
"kpath_density": 40,
"system_name": "bands"
})
catgo_workflow_engine(action="submit", params={"workflow_id": "wf_xxx"})
High-Symmetry K-Path
Automatic Path Detection
Set kpath_mode="auto" to let the engine detect the Bravais lattice and generate the standard k-path. This works for most crystal systems.
Manual K-Path
For custom paths, specify k-points explicitly:
band = wf.add_task(single_point, structure=opt.output.structure,
ICHARG=11,
kpath_mode="manual",
kpath_points={
"G": [0.0, 0.0, 0.0],
"X": [0.5, 0.0, 0.0],
"M": [0.5, 0.5, 0.0],
"G2": [0.0, 0.0, 0.0],
"R": [0.5, 0.5, 0.5],
},
kpath_segments=["G-X", "X-M", "M-G2", "G2-R"],
kpath_density=40,
system_name="bands")
Common K-Paths by Crystal System
| System | Path | Example |
|---|---|---|
| FCC | G-X-W-K-G-L-U-W-L-K | Cu, Al, Pt |
| BCC | G-H-N-G-P-H | Fe, W, Cr |
| HCP | G-M-K-G-A-L-H-A | Ti, Ru, Co |
| Tetragonal | G-X-M-G-Z-R-A-Z | TiO2 rutile |
| Simple cubic | G-X-M-G-R-X | SrTiO3 |
Key Parameters
| Parameter | Value | Purpose |
|---|---|---|
| ICHARG | 11 | Read CHGCAR, non-self-consistent |
| LORBIT | 11 | Atom- and orbital-projected bands |
| NBANDS | auto | Number of bands (increase for unoccupied states) |
| LCHARG | False | Do not overwrite CHGCAR from SCF step |
| LWAVE | False | Do not write WAVECAR (saves disk) |
| kpath_density | 40 | K-points per segment (more = smoother bands) |
Spin-Polarized Band Structure
For magnetic systems:
scf = wf.add_task(single_point, structure=s,
LCHARG=True, ISPIN=2,
MAGMOM="2*5.0 4*0.6",
system_name="SCF_spin")
band = wf.add_task(single_point, structure=s,
ICHARG=11, ISPIN=2, LORBIT=11,
kpath_mode="auto", kpath_density=40,
system_name="bands_spin")
Hybrid Functional Band Structure (HSE06)
HSE06 band structure is expensive but more accurate for band gaps:
scf = wf.add_task(single_point, structure=s,
LCHARG=True, LHFCALC=True, HFSCREEN=0.2,
AEXX=0.25, ALGO="Damped", TIME=0.4,
system_name="SCF_HSE")
band = wf.add_task(single_point, structure=s,
ICHARG=11, LHFCALC=True, HFSCREEN=0.2,
AEXX=0.25, ALGO="Damped", TIME=0.4,
kpath_mode="auto", kpath_density=20,
system_name="bands_HSE")
Note: HSE band calculations are 10-100x more expensive than PBE. Use a lower kpath_density (20) and fewer NBANDS.
Combined DOS + Band Structure
Run both from the same SCF calculation:
scf = wf.add_task(single_point, structure=opt.output.structure,
LCHARG=True, EDIFF=1e-6, system_name="SCF")
# DOS branch
dos_sp = wf.add_task(single_point, structure=opt.output.structure,
ISMEAR=-5, NEDOS=3001, LORBIT=11,
system_name="DOS")
# Band branch
band = wf.add_task(single_point, structure=opt.output.structure,
ICHARG=11, LORBIT=11,
kpath_mode="auto", kpath_density=40,
system_name="bands")
Troubleshooting
| Problem | Fix |
|---|---|
| Bands look wrong / discontinuous | CHGCAR from SCF may be on different k-mesh. Ensure SCF used uniform mesh |
| Band gap too small (PBE) | Expected — PBE underestimates gaps. Use HSE06 for accurate gaps |
| Missing unoccupied bands | Increase NBANDS (default may cut off conduction bands) |
| ICHARG=11 error | CHGCAR must exist from SCF step. Check SCF completed with LCHARG=True |
| Very slow HSE | Normal — reduce kpath_density, reduce NBANDS, use more nodes |
Signals
- GitHub stars
- 196
- Forks
- 23
- Last commit
- Sep 2026
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vasp-band-hello-qm- Source
- github.com/hello-qm/catgo-lrg