Adsorption Energy Calculation

SkillDev tools

Where G includes DFT energy + ZPE - TS from Gibbs free energy calculation.

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 Adsorption Energy Calculation skill

About this capability

Use when the user asks for adsorption energy, binding energy, or wants to compare how strongly a molecule binds to a surface.

What this skill tells your AI

The instructions your AI receives, as published by hello-qm/catgo-lrg in .claude/skills/adsorption-energy/SKILL.md and read by ahel’s review.

Theory

E_ads = E(slab+adsorbate) - E(slab) - E(adsorbate_gas)
  • E_ads < 0: exothermic adsorption (favorable)
  • E_ads > 0: endothermic (unfavorable)

With ZPE Correction

dG_ads = G(slab+adsorbate) - G(slab) - G(adsorbate_gas)

Where G includes DFT energy + ZPE - TS from Gibbs free energy calculation.

Three Required Calculations

SystemDescriptionNotes
slab+adsorbateAdsorbate on surfacegeo_opt with fixed bottom layers
clean slabSame slab without adsorbategeo_opt with same settings
adsorbate gasIsolated molecule in boxgeo_opt in large vacuum box (15+ A)

All three MUST use identical computational settings (ENCUT, EDIFF, k-points for slab systems; Gamma-only for gas molecule).

MCP Workflow

Step 1: Create workflow

{"tool": "catgo_workflow_engine", "arguments": {
  "action": "create", "name": "CO adsorption on Pt(111)"
}}

Step 2: Build and optimize clean slab

{"tool": "catgo_fetch", "arguments": {
  "action": "crystal", "formula": "Pt", "source": "mp"
}}
{"tool": "catgo_structure", "arguments": {
  "action": "slab", "miller_index": [1,1,1],
  "min_slab_size": 12.0, "min_vacuum_size": 15.0
}}
{"tool": "catgo_workflow_engine", "arguments": {
  "action": "add_task", "workflow_id": "wf_ads",
  "task_type": "geo_opt",
  "params": {"software": "vasp", "ENCUT": 520, "system_name": "clean_slab"}
}}

Step 3: Build and optimize slab + adsorbate

{"tool": "catgo_structure", "arguments": {
  "action": "add_atom", "element": "C", "position": [2.77, 1.60, 14.0]
}}
{"tool": "catgo_structure", "arguments": {
  "action": "add_atom", "element": "O", "position": [2.77, 1.60, 15.16]
}}
{"tool": "catgo_workflow_engine", "arguments": {
  "action": "add_task", "workflow_id": "wf_ads",
  "task_type": "geo_opt",
  "params": {"software": "vasp", "ENCUT": 520, "system_name": "slab+CO"}
}}

Step 4: Gas-phase adsorbate

{"tool": "catgo_fetch", "arguments": {
  "action": "molecule", "name": "carbon monoxide"
}}
{"tool": "catgo_workflow_engine", "arguments": {
  "action": "add_task", "workflow_id": "wf_ads",
  "task_type": "geo_opt",
  "params": {"software": "vasp", "ENCUT": 520, "ISMEAR": 0,
             "KPOINTS": [1,1,1], "system_name": "CO_gas"}
}}

Step 5: Submit

{"tool": "catgo_workflow_engine", "arguments": {
  "action": "submit", "workflow_id": "wf_ads"
}}

Python API

from catgo.workflow import Workflow

wf = Workflow("CO adsorption on Pt(111)")

# Clean slab
slab_inp = wf.add_task("structure_input", structure=clean_slab_json)
slab_opt = wf.add_task("geo_opt", structure=slab_inp.output.structure,
                        software="vasp", ENCUT=520)

# Slab + CO
ads_inp = wf.add_task("structure_input", structure=slab_co_json)
ads_opt = wf.add_task("geo_opt", structure=ads_inp.output.structure,
                       software="vasp", ENCUT=520)

# Gas-phase CO (Gamma-only, no smearing)
co_inp = wf.add_task("structure_input", structure=co_gas_json)
co_opt = wf.add_task("geo_opt", structure=co_inp.output.structure,
                      software="vasp", ENCUT=520, ISMEAR=0,
                      KPOINTS=[1, 1, 1])

wf.submit()

# After completion:
# E_ads = ads_opt.output.energy - slab_opt.output.energy - co_opt.output.energy

With ZPE Correction

# Add freq + gibbs for each branch
for task_opt, name, phase in [
    (ads_opt, "slab+CO", "adsorbed"),
    (co_opt, "CO_gas", "gas"),
]:
    frq = wf.add_task("freq", structure=task_opt.output.structure,
                      software="vasp",
                      freeze_mode="layers" if phase == "adsorbed" else "none",
                      freeze_layers=4 if phase == "adsorbed" else 0)
    gib = wf.add_task("gibbs_energy", energy=task_opt.output.energy,
                      frequencies=frq.output.frequencies, phase=phase)

DAG Structure

clean_slab     --> geo_opt  ----\
slab+adsorbate --> geo_opt  ----+--> E_ads = E2 - E1 - E3
adsorbate_gas  --> geo_opt  ----/

Three independent branches, minimum 3 tasks.

Comparing Multiple Sites

To compare adsorption at different sites (top, bridge, hollow):

sites = {
    "top":    [2.77, 1.60, 14.0],
    "bridge": [1.39, 2.40, 13.8],
    "hollow": [1.39, 0.80, 13.6],
}

for site_name, pos in sites.items():
    inp = wf.add_task("structure_input", structure=make_ads_slab(pos))
    opt = wf.add_task("geo_opt", structure=inp.output.structure,
                      software="vasp", ENCUT=520,
                      system_name=f"CO_{site_name}")

Common Pitfalls

  1. The gas-phase molecule must be in a large box (15+ A vacuum on all sides) with Gamma-only k-points and Gaussian smearing (ISMEAR=0).
  2. For dissociative adsorption (e.g., O2 --> 2 *O), use the appropriate reference: 0.5 * E(O2_gas), not E(O_atom).
  3. BSSE (basis set superposition error) is usually negligible for planewave DFT but can matter for localized basis sets (CP2K GTH).
  4. If comparing different adsorbates, always use the SAME clean slab calculation as reference -- do not re-optimize the clean slab for each.
  5. Check that the adsorbate did not desorb or migrate to a different site during geo_opt by inspecting the final structure.

Signals

GitHub stars
196
Forks
23
Last commit
Sep 2026

ahel recommends instead

Advanced
Catalog kind
skill
Gateway key
adsorption-energy-hello-qm
Source
github.com/hello-qm/catgo-lrg