VASP Geometry Optimization
SkillDev toolsSet up and submit VASP geometry optimizations. Three main scenarios with different parameter requirements.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the VASP Geometry Optimization skill
About this capability
VASP geometry optimization (relaxation). Handles bulk, slab, and adsorbate-on-slab scenarios with correct ISIF, frozen layers, and convergence settings.
What this skill tells your AI
The instructions your AI receives, as published by hello-qm/catgo-lrg in server/catgo/workflow/skills/vasp/relax/SKILL.md and read by ahel’s review.
Set up and submit VASP geometry optimizations. Three main scenarios with different parameter requirements.
Discussion Checkpoints
🔴 Must discuss with user:
- Functional (METAGGA/GGA/+U) — PBE vs SCAN vs PBE+U fundamentally changes energetics; wrong functional invalidates the entire study
- ISPIN — must be 2 for magnetic systems (Fe, Co, Ni, Mn oxides, NRR substrates); default ISPIN=1 gives wrong energies for magnetic materials
- Structure source — bulk from Materials Project vs user-uploaded CIF vs previous optimization; wrong starting structure wastes all compute
🟡 Recommend confirming:
- ENCUT (default: 520) — increase to 600+ for accurate equation of state or when comparing across different compositions
- EDIFFG (default: -0.02 eV/A) — tighten to -0.01 for frequency calculations downstream; loosen to -0.05 for quick screening
- k-points — must be converged for the system; small unit cells need denser meshes
- Selective dynamics / frozen layers (default: freeze_layers=2 for slabs) — adjust based on slab thickness and whether subsurface relaxation matters
- ISIF (default: 2) — must be 3 for bulk relaxation, 2 for slabs; wrong ISIF is a common mistake
🟢 Safe defaults:
- EDIFF = 1E-5
- ISMEAR = 0, SIGMA = 0.05
- NSW = 200
- IBRION = 2 (conjugate gradient)
- PREC = Accurate
- NCORE = 4
Scenario 1: Bulk Relaxation
Full cell + ionic relaxation. Use ISIF=3 to allow cell shape and volume to change.
from catgo.workflow import Workflow
from catgo.workflow.builtins import geo_opt
wf = Workflow("Bulk TiO2 relaxation")
struct = wf.add_task("structure_input", structure=bulk_json)
opt = wf.add_task(geo_opt, structure=struct.output.structure,
ISIF=3, # Relax cell shape + volume + ions
EDIFFG=-0.02, # Force convergence (eV/A)
system_name="bulk_TiO2")
wf.submit()
Key parameters:
ISIF=3— relax ions + cell shape + cell volumeEDIFFG=-0.02— converge when max force < 0.02 eV/A (negative = force criterion)NSW=200— max ionic steps (default, usually converges in 50-100)
MCP equivalent:
catgo_workflow_engine(action="create", params={"name": "Bulk TiO2"})
catgo_workflow_engine(action="add_task", params={
"workflow_id": "wf_xxx",
"task_type": "structure_input",
"name": "input",
"structure": "<bulk_json>"
})
catgo_workflow_engine(action="add_task", params={
"workflow_id": "wf_xxx",
"task_type": "geo_opt",
"software": "vasp",
"structure": "{{t_001.output.structure}}",
"ISIF": 3,
"system_name": "bulk_TiO2"
})
catgo_workflow_engine(action="submit", params={"workflow_id": "wf_xxx"})
Scenario 2: Slab Relaxation (Clean Surface)
Fixed cell, relax only ions. Bottom layers frozen to mimic bulk.
wf = Workflow("RuO2(110) slab")
struct = wf.add_task("structure_input", structure=slab_json)
opt = wf.add_task(geo_opt, structure=struct.output.structure,
ISIF=2, # Fix cell, relax ions only
selective_dynamics=True,
freeze_layers=2, # Freeze bottom 2 layers
system_name="clean_slab")
wf.submit()
Key parameters:
ISIF=2— MANDATORY for slabs. Fixes cell shape and volumefreeze_layers=2— freeze bottom N layers (sorted by z-coordinate)selective_dynamics=True— enable per-atom freeze in POSCAR- Vacuum: ensure >= 15 A in z-direction to avoid periodic image interaction
ISIF reference:
| ISIF | Ions | Cell shape | Cell volume | Use case |
|---|---|---|---|---|
| 2 | Yes | No | No | Slabs, adsorbates |
| 3 | Yes | Yes | Yes | Bulk relaxation |
| 4 | Yes | Yes | No | Bulk at fixed volume |
Scenario 3: Adsorbate on Slab
Same as slab relaxation, but the structure has an adsorbate. Adsorbate atoms are always free.
wf = Workflow("OH on RuO2(110)")
struct = wf.add_task("structure_input", structure=adsorbate_slab_json)
opt = wf.add_task(geo_opt, structure=struct.output.structure,
ISIF=2,
selective_dynamics=True,
freeze_layers=2,
EDIFFG=-0.02,
system_name="*OH")
wf.submit()
Guidelines for adsorbates:
- freeze_layers only affects the slab — adsorbate atoms above the surface are always relaxed
- Use
system_name="*OH"convention (asterisk = adsorbed species) - For weak adsorbates (CO2, H2O physisorption), add
IVDW=11for DFT-D3
Confirmation Gate
By default, HPC tasks (including VASP relaxation) pause at PENDING_REVIEW after local preprocessing completes. This lets users verify the structure, frozen layers, and VASP parameters in the task detail panel before committing HPC resources. Click "Confirm & Submit" in the UI, or use wf.submit(auto_submit=True) to bypass the gate.
Visual Verification Steps
Before submitting, verify the structure in the viewer:
# Step 1: Check current structure in viewer
catgo_view(action="get_state")
# Verify: correct composition, reasonable cell parameters, vacuum > 15 A for slabs
# Step 2: For slabs, verify frozen atoms
catgo_view(action="get_state")
# Check that bottom-layer atoms will be frozen
# Step 3: After optimization completes, push result to viewer
catgo_workflow_engine(action="get_result", params={"task_id": "t_opt"})
catgo_view(action="push", params={"structure": "<optimized_structure_json>"})
Convergence Monitoring
# Check if optimization is converged
catgo_analyze(action="convergence", params={"task_id": "t_opt"})
# Returns: energy vs step, max force vs step, whether converged
# Check remaining forces
catgo_analyze(action="forces", params={"task_id": "t_opt"})
# Returns: per-atom forces, max force, force on each species
Common Chain: Relaxation then Frequency
For thermodynamic properties (Gibbs energy, ZPE), chain relaxation with frequency:
from catgo.workflow.builtins import geo_opt, freq, gibbs_energy
wf = Workflow("OH adsorption thermodynamics")
struct = wf.add_task("structure_input", structure=slab_oh_json)
opt = wf.add_task(geo_opt, structure=struct.output.structure,
ISIF=2, freeze_layers=2, system_name="*OH")
frq = wf.add_task(freq, structure=opt.output.structure,
freeze_mode="layers", freeze_layers=4,
system_name="*OH")
gib = wf.add_task(gibbs_energy,
energy=opt.output.energy,
frequencies=frq.output.frequencies,
phase="adsorbed", system_name="*OH")
wf.submit()
Troubleshooting
| Problem | Fix |
|---|---|
| Forces not converging | Increase NSW (e.g., 400), or loosen EDIFFG to -0.03 |
| Atoms escaping into vacuum | Check initial adsorbate placement, reduce POTIM to 0.3 |
| SCF not converging | Switch ALGO=All, increase NELM=400, try AMIX=0.1 |
| Cell shape changing for slab | Ensure ISIF=2, not ISIF=3 |
| Wrong energy (magnetic system) | Set ISPIN=2, provide MAGMOM |
Parameter Defaults (inherited from config)
These are applied automatically unless overridden:
- ENCUT=520, EDIFF=1e-5, PREC=Accurate
- IBRION=2 (conjugate gradient), NSW=200
- EDIFFG=-0.02, ISIF=2
- ISMEAR=0, SIGMA=0.05 (Gaussian smearing)
- NCORE=4, LREAL=Auto
Signals
- GitHub stars
- 196
- Forks
- 23
- Last commit
- Sep 2026
Others that do the same job
Advanced
- Catalog kind
- skill
- Gateway key
vasp-relax- Source
- github.com/hello-qm/catgo-lrg