Skills Guide

Calcul de surpotentiel OER

Guide pour calculer le surpotentiel de la réaction d'évolution de l'oxygène (OER) via le chemin à 4 électrons, avec corrections de pH et workflow MCP.

Spar Skills Guide Bot
Data & IAAvancé
0007/08/2026
Claude Code
#oer#overpotential#catalysis#dft#computational-chemistry

Recommandé pour

Claude CodeData scientistData & analyse

name: oer-overpotential description: > Use when the user asks about OER (oxygen evolution reaction) overpotential, water oxidation catalysis, or the 4-electron water splitting pathway on a surface catalyst.

OER Overpotential Calculation

Theory: 4-Electron Pathway

* + H2O --> *OH  + H+ + e-    (step 1)
*OH      --> *O   + H+ + e-    (step 2)
*O + H2O --> *OOH + H+ + e-   (step 3)
*OOH     --> * + O2 + H+ + e- (step 4)

Free Energy Steps

dG1 = G(*OH)  - G(*)  - G(H2O) + 0.5*G(H2)
dG2 = G(*O)   - G(*OH) + 0.5*G(H2)
dG3 = G(*OOH) - G(*O)  - G(H2O) + 0.5*G(H2)
dG4 = 4.92    - dG1 - dG2 - dG3

Where 4.92 eV = 2 * G(H2O) - 2 * G(H2) (thermodynamic water splitting).

pH Correction

At non-zero pH, each proton-transfer step is corrected by:

dG_i(pH) = dG_i - 0.059 * pH   (eV, at 298 K)

This shifts the free energy of every (H+ + e-) transfer by -0.059 eV per pH unit (Nernst relation). At pH 0, no correction is needed. At pH 14 (alkaline OER), each step shifts by -0.83 eV.

Overpotential

eta_OER = max(dG1, dG2, dG3, dG4) / e - 1.23 V

The potential-determining step (PDS) is whichever step has the largest dG.

Important: All G values must be Gibbs free energies (from geo_opt + freq + gibbs_energy chain), NOT raw DFT electronic energies. Using E_DFT instead of G omits ZPE and entropy, leading to errors of 0.2-0.5 eV per step.

Discussion Checkpoints

🔴 Must discuss with user:

  • Surface choice — Miller index and termination determine active sites; e.g., RuO2(110) vs (100) have different CUS site geometries and overpotentials
  • Functional — PBE vs SCAN vs PBE+U; must be consistent across ALL intermediates (*OH, *O, *OOH) and the clean slab; mixing functionals invalidates dG values
  • ISPIN — must be 2 for magnetic oxide catalysts (Co3O4, NiFe2O4, etc.); non-spin-polarized calculations give qualitatively wrong adsorption energies

🟡 Recommend confirming:

  • Solvation correction — implicit solvation (VASPsol) or explicit water stabilizes *OH and *OOH by ~0.1-0.3 eV; important for quantitative accuracy
  • Dipole correction (LDIPOL=.TRUE., IDIPOL=3) — corrects spurious electrostatic interactions for asymmetric slabs with polar adsorbates
  • pH value (default: 0) — each step shifts by -0.059*pH eV; alkaline OER (pH 14) shifts each step by -0.83 eV

🟢 Safe defaults:

  • 4-electron mechanism (*OH, *O, *OOH intermediates)
  • dG4 = 4.92 - dG1 - dG2 - dG3 (thermodynamic constraint)
  • CHE reference: G(H+ + e-) = 0.5 * G(H2) at U=0V

Reference Energies

| Species | How to Obtain | |---------|---------------| | G(H2) | Gas-phase H2: geo_opt + freq with phase="gas" | | G(H2O) | Gas-phase H2O: geo_opt + freq with phase="gas" | | G(*) | Clean slab: geo_opt only (no freq needed if slab is rigid reference) |

Using the computational hydrogen electrode (CHE): G(H+ + e-) = 0.5 * G(H2) at U=0V.

Complete MCP Workflow

1. Create workflow

{"tool": "catgo_workflow_engine", "arguments": {
  "action": "create", "name": "OER on RuO2(110)"
}}

2. Build slab + adsorbate structures

For each intermediate (*OH, *O, *OOH), build the structure:

{"tool": "catgo_structure", "arguments": {
  "action": "slab", "miller_index": [1,1,0], "min_slab_size": 12.0,
  "min_vacuum_size": 15.0
}}

{"tool": "catgo_structure", "arguments": {
  "action": "add_atom", "element": "O", "position": [4.2, 3.1, 14.5]
}}

3. For each intermediate, add: geo_opt --> freq --> gibbs_energy

{"tool": "catgo_workflow_engine", "arguments": {
  "action": "add_task", "workflow_id": "wf_oer",
  "task_type": "geo_opt",
  "params": {"software": "vasp", "ENCUT": 520, "system_name": "*OH"}
}}

{"tool": "catgo_workflow_engine", "arguments": {
  "action": "add_task", "workflow_id": "wf_oer",
  "task_type": "freq", "depends_on": "task_oh_opt",
  "params": {"software": "vasp", "freeze_mode": "layers", "freeze_layers": 4,
             "system_name": "*OH"}
}}

{"tool": "catgo_workflow_engine", "arguments": {
  "action": "add_task", "workflow_id": "wf_oer",
  "task_type": "gibbs_energy", "depends_on": ["task_oh_opt", "task_oh_freq"],
  "params": {"phase": "adsorbed", "system_name": "*OH"}
}}

Repeat for *O and *OOH intermediates.

4. Add gas-phase references (H2, H2O)

{"tool": "catgo_fetch", "arguments": {
  "action": "molecule", "name": "water"
}}

{"tool": "catgo_workflow_engine", "arguments": {
  "action": "add_task", "workflow_id": "wf_oer",
  "task_type": "gibbs_energy", "depends_on": ["task_h2o_opt", "task_h2o_freq"],
  "params": {"phase": "gas", "system_name": "H2O(g)"}
}}

5. Submit

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

Python API

from catgo.workflow import Workflow

wf = Workflow("OER on RuO2(110)")

# 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)

# Each intermediate: OH, O, OOH
for ads in ["OH", "O", "OOH"]:
    inp = wf.add_task("structure_input", structure=adsorbate_slabs[ads])
    opt = wf.add_task("geo_opt", structure=inp.output.structure,
                      software="vasp", ENCUT=520, system_name=f"*{ads}")
    frq = wf.add_task("freq", structure=opt.output.structure,
                      software="vasp", freeze_mode="layers", freeze_layers=4,
                      system_name=f"*{ads}")
    gib = wf.add_task("gibbs_energy", energy=opt.output.energy,
                      frequencies=frq.output.frequencies,
                      phase="adsorbed", system_name=f"*{ads}")

# Gas-phase references
for mol, name in [("H2", "H2(g)"), ("H2O", "H2O(g)")]:
    inp = wf.add_task("structure_input", structure=gas_molecules[mol])
    opt = wf.add_task("geo_opt", structure=inp.output.structure,
                      software="vasp", system_name=name)
    frq = wf.add_task("freq", structure=opt.output.structure,
                      software="vasp", system_name=name)
    gib = wf.add_task("gibbs_energy", energy=opt.output.energy,
                      frequencies=frq.output.frequencies,
                      phase="gas", system_name=name)

wf.submit()

DAG Structure

clean_slab --> geo_opt
*OH  --> geo_opt --> freq --> gibbs
*O   --> geo_opt --> freq --> gibbs
*OOH --> geo_opt --> freq --> gibbs
H2   --> geo_opt --> freq --> gibbs (gas)
H2O  --> geo_opt --> freq --> gibbs (gas)

Total: ~15 tasks. The 5 branches are independent and run in parallel.

Common Pitfalls

  1. Always use the same ENCUT, EDIFF, k-points for ALL intermediates and the clean slab. Inconsistent settings cause systematic errors in dG.
  2. OOH is weakly bound -- use tight EDIFFG (-0.02 eV/A) and check it does not desorb during optimization.
  3. Gas-phase molecules must use phase="gas" in gibbs_energy.
  4. The clean slab reference does not need freq if you treat it as a rigid reference. But including freq improves accuracy for flexible substrates.
  5. For oxides (RuO2, IrO2), the slab itself already contains O atoms -- ensure adsorbate placement does not overlap with lattice oxygen.
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