VASP Frequency Calculation

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VASP vibrational frequency calculation. Compute ZPE and thermodynamic corrections. Handles frozen atoms for slab systems with multiple freeze modes.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the VASP Frequency Calculation skill

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

  1. After geometry optimization — compute ZPE and Gibbs energy corrections
  2. Transition state verification — confirm exactly one imaginary frequency
  3. IR/Raman spectra — predict vibrational spectra
  4. 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

ModeDescriptionExample
"none"All atoms vibrate (gas-phase molecules)Small molecules
"layers"Freeze bottom N layers by z-coordinatefreeze_mode="layers", freeze_layers=4
"z_range"Freeze atoms below a z thresholdfreeze_mode="z_range", freeze_z_below=8.0
"element"Freeze specific elementsfreeze_mode="element", freeze_elements=["Ru", "O"]
"indices"Freeze specific atom indicesfreeze_mode="indices", freeze_indices=[0,1,2,3]
"manual"Use selective_dynamics from structurePre-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_cutoff
  • phase="gas": ideal gas approximation with translational + rotational contributions

Key Parameters

ParameterDefaultPurpose
IBRION5Finite differences
NFREE2Central differences (2-point)
POTIM0.015Displacement step size (Angstrom)
EDIFF1e-6Tight 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

ProblemFix
Many imaginary frequenciesStructure not converged — re-optimize with tighter EDIFFG=-0.01
One imaginary frequencyCould be a transition state (expected) or shallow minimum — check mode
Frequencies seem wrongEnsure LREAL=.FALSE. and EDIFF=1e-6
Calculation too expensiveFreeze more atoms (increase freeze_layers)
Numeric noise in frequenciesReduce 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
Advanced
Catalog kind
skill
Gateway key
vasp-freq
Source
github.com/hello-qm/catgo-lrg