VASP Frequency Calculation
SkillDev toolsVASP vibrational frequency calculation. Compute ZPE and thermodynamic corrections. Handles frozen atoms for slab systems with multiple freeze modes.
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What this skill tells your AI
The instructions your AI receives, as published by hello-qm/catgo-lrg in .claude/skills/vasp-freq/SKILL.md and read by ahel’s review.
Compute vibrational frequencies using finite differences. Used for zero-point energy (ZPE), thermodynamic corrections, and checking transition states.
When to Use
- After geometry optimization — compute ZPE and Gibbs energy corrections
- Transition state verification — confirm exactly one imaginary frequency
- IR/Raman spectra — predict vibrational spectra
- Thermodynamic properties — feed into gibbs_energy task
Discussion Checkpoints
🔴 Must discuss with user:
- freeze_mode — which atoms vibrate determines the thermodynamic corrections; freezing too few atoms wastes compute, freezing the adsorbate itself gives wrong ZPE
- LREAL=.FALSE. — mandatory for frequency calculations; real-space projection introduces noise that corrupts finite-difference frequencies; this is non-negotiable
🟡 Recommend confirming:
- POTIM (default: 0.015) — displacement step size; reduce to 0.01 if numerical noise appears, increase to 0.02 for heavier atoms
- NFREE (default: 2) — central differences; increase to 4 for higher accuracy at 2x cost
- ENCUT — must match the preceding geo_opt to ensure consistent forces; mismatched ENCUT invalidates the frequency data
🟢 Safe defaults:
- IBRION = 5 (finite differences)
- NSW = 1
- EDIFF = 1E-6 (tighter than geo_opt for clean forces)
Basic Frequency Calculation
from catgo.workflow import Workflow
from catgo.workflow.builtins import geo_opt, freq, gibbs_energy
wf = Workflow("Frequency calculation")
struct = wf.add_task("structure_input", structure=optimized_json)
frq = wf.add_task(freq, structure=struct.output.structure,
system_name="CO_gas")
wf.submit()
MCP equivalent:
catgo_workflow_engine(action="create", params={"name": "Frequency calc"})
catgo_workflow_engine(action="add_task", params={
"workflow_id": "wf_xxx",
"task_type": "structure_input",
"structure": "<optimized_json>"
})
catgo_workflow_engine(action="add_task", params={
"workflow_id": "wf_xxx",
"task_type": "freq",
"software": "vasp",
"structure": "{{t_001.output.structure}}",
"system_name": "CO_gas"
})
catgo_workflow_engine(action="submit", params={"workflow_id": "wf_xxx"})
Frozen Atoms for Slab Systems
For adsorbates on surfaces, freeze the slab atoms and only compute frequencies for the adsorbate (and optionally top surface layer). This dramatically reduces cost.
freeze_mode Options
| Mode | Description | Example |
|---|---|---|
"none" | All atoms vibrate (gas-phase molecules) | Small molecules |
"layers" | Freeze bottom N layers by z-coordinate | freeze_mode="layers", freeze_layers=4 |
"z_range" | Freeze atoms below a z threshold | freeze_mode="z_range", freeze_z_below=8.0 |
"element" | Freeze specific elements | freeze_mode="element", freeze_elements=["Ru", "O"] |
"indices" | Freeze specific atom indices | freeze_mode="indices", freeze_indices=[0,1,2,3] |
"manual" | Use selective_dynamics from structure | Pre-set in POSCAR |
Recommended: Freeze by Layers
For a typical slab with adsorbate:
opt = wf.add_task(geo_opt, structure=slab_oh_json,
ISIF=2, freeze_layers=2, system_name="*OH")
frq = wf.add_task(freq, structure=opt.output.structure,
freeze_mode="layers",
freeze_layers=4, # Freeze bottom 4 layers (all slab atoms)
system_name="*OH")
Why freeze_layers=4 for freq but freeze_layers=2 for geo_opt?
- geo_opt: freeze bottom half, let top surface layers relax with adsorbate
- freq: freeze ALL slab atoms, only vibrate the adsorbate + binding site atoms
- This is physically correct: slab phonons are not relevant for adsorption thermodynamics
Freeze by Z-range
Useful when layer detection is ambiguous:
frq = wf.add_task(freq, structure=opt.output.structure,
freeze_mode="z_range",
freeze_z_below=12.5, # Angstrom
system_name="*OH")
Chain: Optimization then Frequency then Gibbs Energy
The standard thermodynamics workflow:
wf = Workflow("OH adsorption Gibbs energy")
struct = wf.add_task("structure_input", structure=slab_oh_json)
# Step 1: Optimize geometry
opt = wf.add_task(geo_opt, structure=struct.output.structure,
ISIF=2, freeze_layers=2, system_name="*OH")
# Step 2: Frequency on optimized structure
frq = wf.add_task(freq, structure=opt.output.structure,
freeze_mode="layers", freeze_layers=4,
system_name="*OH")
# Step 3: Gibbs energy from DFT energy + frequencies
gib = wf.add_task(gibbs_energy,
energy=opt.output.energy,
frequencies=frq.output.frequencies,
phase="adsorbed", # Harmonic approximation for adsorbates
temperature=298.15, # K
freq_cutoff=50, # cm-1, replace low freqs with this value
system_name="*OH")
wf.submit()
Gas-Phase Molecule Frequencies
For free molecules (H2, H2O, CO, etc.), do NOT freeze any atoms:
frq = wf.add_task(freq, structure=molecule_json,
freeze_mode="none", # All atoms vibrate
system_name="H2O_gas")
gib = wf.add_task(gibbs_energy,
energy=opt.output.energy,
frequencies=frq.output.frequencies,
phase="gas", # Ideal gas partition function
system_name="H2O_gas")
Gas vs adsorbed phase:
phase="adsorbed": harmonic approximation, frustrated translations/rotations replaced by freq_cutoffphase="gas": ideal gas approximation with translational + rotational contributions
Key Parameters
| Parameter | Default | Purpose |
|---|---|---|
| IBRION | 5 | Finite differences |
| NFREE | 2 | Central differences (2-point) |
| POTIM | 0.015 | Displacement step size (Angstrom) |
| EDIFF | 1e-6 | Tight SCF convergence (tighter than geo_opt) |
| LREAL | .FALSE. | Must be exact for frequencies |
LREAL=.FALSE. is mandatory. Real-space projection introduces noise in forces that corrupts finite-difference frequencies. The config default overrides LREAL=Auto for freq tasks.
Analyzing Results
# Check frequencies after completion
catgo_analyze(action="frequencies", params={"task_id": "t_freq"})
# Returns: list of frequencies (cm-1), ZPE, imaginary modes
# Get raw result
catgo_workflow_engine(action="get_result", params={"task_id": "t_freq"})
# Returns: {"frequencies": [...], "zpe": 0.543}
Output
The freq task produces:
output.frequencies— list of vibrational frequencies in cm-1 (negative = imaginary)output.zpe— zero-point energy in eV
Troubleshooting
| Problem | Fix |
|---|---|
| Many imaginary frequencies | Structure not converged — re-optimize with tighter EDIFFG=-0.01 |
| One imaginary frequency | Could be a transition state (expected) or shallow minimum — check mode |
| Frequencies seem wrong | Ensure LREAL=.FALSE. and EDIFF=1e-6 |
| Calculation too expensive | Freeze more atoms (increase freeze_layers) |
| Numeric noise in frequencies | Reduce POTIM to 0.01 or increase NFREE to 4 |
Cost Estimate
Frequency calculations require 6N single-point calculations where N is the number of free atoms (with NFREE=2). For a 5-atom adsorbate on a frozen slab, that is 30 SCF calculations — roughly 30x the cost of a single point.
Signals
- GitHub stars
- 196
- Forks
- 23
- Last commit
- Sep 2026
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