abinit
무료Generate and manage ABINIT DFT calculations. Use when the user requests ABINIT, or needs DFPT phonons, GW calculations, or BSE optical spectra.
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Use when the user asks to reproduce the Kreitz 2021 Ni surface benchmark, run the MACE Ni benchmark, or compare a machine-learning potential (MACE, CHGNet, M3GNet) against DFT-D3 surface-science references. Invokes the "UMA Catalysis Tutorial" preset (template key `uma_catalysis_screening`).
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실행 점수 미검증
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Reproduces six Ni surface DFT-D3 target quantities end-to-end with MACE-MP-0, on a single Ni bulk source, in one workflow.
Trigger phrases (any of):
Also invoke when the user asks to compute multiple of the six quantities below for Ni at once — one preset is cheaper than six separate workflows.
| # | Quantity | Source node | Result key |
|---|---|---|---|
| 1 | γ(111), γ(100), γ(110), γ(211) | surface_energy | per_facet[hkl].gamma_J_per_m2 |
| 2 | Wulff facet area fractions | wulff_construction | area_fractions[hkl] |
| 3 | H adsorption energy on Ni(111) FCC hollow (ZPE-corrected) | adsorption_energy | E_ads_ZPE_eV |
| 4 | Coverage slope ∂E_ads/∂θ (1,2,4,8,16 H on 4×4 Ni(111)) | coverage_analysis | fit.slope |
| 5 | CO* ↔ C* + O* NEB barrier | ts_search (mlp_neb) | activation_barrier_kcal_mol |
| 6 | TS imaginary-mode frequency | freq (mlp_vibrations) | dominant_imag_freq_cm (with is_valid_ts flag) |
All six are viewable side-by-side in the project dashboard's "Benchmark"
tab once any workflow derived from uma_catalysis_screening (or with a
matching name) is present in the project.
In the Workflow Editor, click New from preset → Surface Catalysis →
UMA Catalysis Tutorial. A 26-node DAG loads. The template is defined
in src/lib/workflow/graph-model.ts::uma_catalysis_screening.
After it loads, the user must load structures into 4 input nodes:
Ni bulk (FCC) — fcc Ni, a ≈ 3.524 Å (Materials Project mp-23)H₂ molecule — two H atoms ~0.74 Å apart in a 20 Å boxCO* on Ni(111) — NEB reactant (CO adsorbed on a 3×3 Ni(111) slab)C* + O* on Ni(111) — NEB product (C and O separately adsorbed)Rebuilding the 26-node DAG by hand costs ~2x the effort and always drifts from the defaults tested against MACE-MP-0 medium. Only do this if the user needs a custom variant (e.g. different slab supercell, or a non-cubic/non-Ni system).
| Quantity | Typical |CatGo − Kreitz| | Notes |
|---|---|---|
| γ(hkl) | ~0.1 J/m² | γ(111) tends to be ~0.05 J/m² higher |
| Wulff fractions | < 0.05 | Dominant (111) facet rank is preserved |
| E_ads(H, ZPE) | ~0.1 eV | MACE-MP-0 slightly overbinds H |
| Coverage slope | ~0.03 eV/ML | Sign (repulsive) should match |
| NEB barrier | ~0.2 eV | Largest single deviation |
| ν_imag | ~50 cm⁻¹ | Sign must be negative (imaginary) |
If deviations are much larger than these ranges, check:
fmax < 0.05 eV/Å with relax_cell: true)neb_converged: true)is_valid_ts: true on the freq step at the TS? (Exactly one
imaginary mode above the 20 cm⁻¹ trivial-mode filter.)software: mlp, model: MACE, device: auto → uses MACE-MP-0 medium
via the default mace_mp("medium", default_dtype="float64") path.
Checkpoint auto-downloads to ~/.cache/mace/ on first run
(~200 MB, ~2 min).freeze_mode: layers, freeze_layers: 2, freeze_invert: false) →
~20× cheaper freqs without losing ZPE accuracy. Note: freeze_invert
inverts the set of atoms ASE displaces, so false here means the
frozen set (bottom 2 Ni layers) is actually frozen and everything
else vibrates — the standard catalysis setup. true would vibrate
only the bottom 2 Ni layers (wrong for ZPE).climb: true, FIRE optimizer, fmax: 0.05 eV/Å.Every MLP-dispatched step writes metadata.json (captured via the C1
footer in server/workflow/engines/mlp.py) into result_json.metadata:
{
"mace_torch_version": "0.3.15",
"torch_version": "2.10.0",
"mace_model": "mace-mp-0-medium",
"model_sha256": null,
"device": "cuda:0" | "cpu",
"gpu_name": "...",
"wall_time_s": 12.3,
"host": "...",
"timestamp": "..."
}
The Benchmark tab surfaces the latest MLP step's metadata panel. Users export CSV from the same tab to share the full 6-row table with the metadata footer included as RFC-4180-escaped comment lines.
structure/slab/ — slab generation internalsadsorption/ — the general E_ads formula this preset specializesoer/, her/ — if the user wants surface reactivity trends on top of γ(hkl)아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
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Generate and manage ABINIT DFT calculations. Use when the user requests ABINIT, or needs DFPT phonons, GW calculations, or BSE optical spectra.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when the user asks to place an adsorbate molecule on a surface, find adsorption sites, or set up a surface+adsorbate model for DFT.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when the user asks for adsorption energy, binding energy, or wants to compare how strongly a molecule binds to a surface.
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Use when the user asks to analyze computational results: Gibbs free energy, OER/HER/CO2RR overpotentials, adsorption energy, convergence tests, DOS/d-band analysis, or Bader charge analysis.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use AmberTools antechamber for molecular force field parameterization. Generates GAFF/GAFF2 parameters and AM1-BCC or RESP charges for use in AMBER or LAMMPS classical MD simulations.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
One-shot recipes for adding, deleting, moving, and replacing individual atoms in the active CatGo viewer structure. Use whenever the user asks to "add an atom", "delete atoms", "remove this atom", "move atom N", "replace H with Li", or any single-atom edit — including "add a hydrogen on top of atom 12" / "delete atoms 5–9" / "swap the oxygen at site 3 for fluorine". Skips the discovery loop (no need to list structure tools or check adsorption sites first); goes straight to the matching `catgo_structure` action. Triggers in Chinese on 加原子, 删原子, 减原子, 移动原子, 替换原子, 增加氢, 删除氧, 把 ... 换成 ....
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.