ORCA NEB-TS Transition State Skill

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Requirements: the user MUST provide both a reactant and a product structure. If only one structure is available, ask for the other before proceeding.

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 ORCA NEB-TS Transition State Skill skill

About this capability

ORCA NEB-TS transition state search. Requires reactant and product structures. Handles NEB parameters, image count, and CI-NEB settings.

What this skill tells your AI

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

When to Use

Use this skill when the user wants to:

  • Find a transition state between two structures
  • Calculate a reaction barrier
  • Map a minimum energy path (MEP) between reactant and product

Requirements: the user MUST provide both a reactant and a product structure. If only one structure is available, ask for the other before proceeding.

How NEB-TS Works

  1. ORCA interpolates images between reactant and product geometries
  2. NEB optimization finds the minimum energy path
  3. Climbing-image NEB (CI-NEB) refines the highest-energy image
  4. The TS is characterized by exactly one imaginary frequency

MCP Tool Examples — proven Expanse submission flow

Use catgo_workflow (graph-based), NOT catgo_workflow_engine (task-based). NEB-TS needs TWO structure inputs (reactant + product) wired to separate input ports. The graph-based tool lets you build that wiring explicitly. Param keys also differ: graph-based uses method/basis, task-based uses orca_method/orca_basis.

Step 1: Load both structures and capture their JSON

NEB-TS needs reactant and product. The create action auto-captures only the viewer structure, so capture each one separately and pass them inline.

Load reactant into viewer (file or PubChem):

catgo_structure(action: "load_file", file_content: "<reactant xyz>", file_format: "xyz")

Capture its JSON:

catgo_view(action: "get_state")

Save the resulting structure JSON as <reactant_json>.

Then load and capture the product the same way → <product_json>.

Step 2: Find Expanse session_id

curl -s http://localhost:8000/api/hpc/connections

Copy the session_id for host: login.expanse.sdsc.edu.

Step 3: Create the workflow

catgo_workflow(action: "create", name: "NEB-TS Cl- + CH3Br")

Note the auto-created structure_input node ID. You'll either reuse it for the reactant (and add a second structure_input for the product) or remove it and add two fresh ones.

Step 4: Wire reactant + product → orca_neb_ts

catgo_workflow(action: "batch", workflow_id: "<wf_id>", operations: [
  {"op": "add_node", "node_type": "structure_input", "label": "reactant",
   "params": {"structure_json": "<reactant_json>"}},
  {"op": "add_node", "node_type": "structure_input", "label": "product",
   "params": {"structure_json": "<product_json>"}},
  {"op": "add_node", "node_type": "orca_neb_ts", "label": "neb",
   "params": {
     "software": "orca",
     "method": "B3LYP",
     "basis": "def2-SVP",
     "dispersion": "D4",
     "charge": -1,
     "multiplicity": 1,
     "nimages": 8,
     "ts_opt": true,
     "neb_cycles": 100
   }},
  {"op": "connect", "from_id": "reactant", "to_id": "neb",
   "from_handle": "structure", "to_handle": "structure"},
  {"op": "connect", "from_id": "product", "to_id": "neb",
   "from_handle": "structure", "to_handle": "structure_product"}
])

The two connect ops are critical — to_handle must be structure for the reactant edge and structure_product for the product edge. (Verify with node_details(orca_neb_ts) — input handles are ["structure", "structure_product"].) If both go to structure the neb task sees a list and uses only the first.

Step 5: Optional — chain a freq node to verify the TS

{"op": "add_node", "node_type": "freq", "label": "freq_ts",
 "params": {"software": "orca", "method": "B3LYP", "basis": "def2-SVP", "charge": -1, "multiplicity": 1}},
{"op": "connect", "from_id": "neb", "to_id": "freq_ts",
 "from_handle": "structure", "to_handle": "structure"}

A valid TS shows exactly one imaginary frequency.

Step 6: Run with the full HPC run_config

NEB-TS is much more expensive than a single opt — bump walltime accordingly, and consider partition: "shared" or "compute" instead of "debug" (which caps at 30 min). Read server/templates/orca_generic.sh and pass its contents as default_template.

catgo_workflow(action: "run", workflow_id: "<wf_id>", run_config: {
  "execution_mode": "hpc",
  "default_session_id": "<expanse_session_id>",
  "base_work_dir": "/expanse/lustre/projects/sdp126/jyang25/ORCA/catgo",
  "default_job_params": {
    "nodes": 1, "ntasks": 8, "cpus_per_task": 1,
    "walltime": "08:00:00", "partition": "shared"
  },
  "cluster_configs": {
    "<expanse_session_id>": {
      "account": "sdp126",
      "partition": "shared",
      "module_loads": "module load cpu/0.17.3b\nmodule load gcc/10.2.0/npcyll4\nexport PATH=$HOME/openmpi-4.1.8/bin:$PATH\nexport LD_LIBRARY_PATH=$HOME/openmpi-4.1.8/lib:$LD_LIBRARY_PATH",
      "orca_dir": "/home/jyang25/orca_6_1_1_RRP8",
      "default_template": "<contents of server/templates/orca_generic.sh>",
      "default_job_params": {
        "nodes": 1, "ntasks": 8, "cpus_per_task": 1,
        "walltime": "08:00:00", "partition": "shared"
      }
    }
  }
})

The local-scratch template stages I/O to $TMPDIR/orca_$SLURM_JOB_ID and copies results back. Required on Expanse — Lustre kills ORCA's many-small-file I/O during the per-image SCFs.

Step 7: Monitor and pull results

catgo_workflow(action: "status", workflow_id: "<wf_id>")
mkdir -p ./local_run
for f in ORCA.out ORCA_MEP_trj.xyz ORCA.NEB.log \
         ORCA.property.json ORCA.json; do
  curl -s -X POST http://localhost:8000/api/hpc/files/read-content \
    -H 'Content-Type: application/json' \
    -d "{\"session_id\":\"<expanse_session_id>\",\"file_path\":\"<work_dir>/$f\"}" \
    > ./local_run/$f
done

Step 8: Parse with OPI

OPI gives a per-image energy curve and the converged-TS imaginary-frequency check without regex. Requires pip install orca-pi.

import sys
sys.path.insert(0, ".claude/skills")  # for the _shared helper
from _shared.orca_opi import parse_local

out = parse_local("./local_run")

# Per-image energy curve — geometries[i] holds each image's properties
energies_eh = [
    g.single_point_data.finalenergy
    for g in out.results_properties.geometries
]
print("MEP energies (Eh):", energies_eh)
print("Barrier (Eh):", max(energies_eh) - energies_eh[0])

# Converged TS imaginary check (after NEB-TS refinement step)
ts_freqs = out.results_properties.geometries[-1].thermochemistry_energies[0].freq
n_imag = sum(1 for f in ts_freqs if f < 0)
assert n_imag == 1, f"Expected 1 imaginary mode, got {n_imag}"
print("Imaginary mode (cm^-1):", min(ts_freqs))

NEB does not always produce a thermochemistry block (depends on whether NEB-TS finished its frequency confirmation step). If thermochemistry_energies is missing, run a follow-up freq node on the converged TS structure.

Viewing the MEP curve in the IDE

from _shared.orca_opi import quick_plot_neb_mep, show_png
png = quick_plot_neb_mep(out)            # writes ./local_run/neb_mep.png
show_png(png, "NEB-TS MEP")              # prints `![NEB-TS MEP](local_run/neb_mep.png)`

After running this, reply to the user with the markdown link the script printed so Claude Code renders the figure inline in chat.

Submission gotchas (real failures we hit)

  • catgo_workflow_engine.add_task doesn't auto-attach structures → "No input structure provided".
  • Connecting both reactant and product to to_handle: "structure" (default) → neb task sees a list, uses only the first → garbage path. Use reactant and product handles explicitly.
  • partition=workq (Shaheen default) is invalid on Expanse → use debug/shared/compute.
  • partition=debug capped at 30 min — use shared for any real NEB-TS run.
  • Missing account=sdp126 → "Invalid account or account/partition combination".
  • Missing module_loads + orca_dirorca not on PATH; per-image SCFs silently produce nothing.
  • After re-connecting to Expanse, the session_id changes — re-discover via /api/hpc/connections and update default_session_id + cluster_configs key.

Canonical NEB-TS node params (what the engine actually reads)

ParameterDefaultDescription
methodr2SCAN-3cDFT functional
basisdef2-SVPBasis set (omit for composite methods)
charge / multiplicity0 / 1
dispersion(none)D4 | D3BJ | D3use this field, NOT extra_keywords
gridDefGrid2DefGrid1/2/3
nimages8Number of interpolated images
ts_opttrueSwitch to CI-NEB after convergence
neb_cycles100NEB iteration cap
interpolation"IDPP"Initial-path interpolation method
num_cores / max_core_mb8 / 4000

⚠️ extra_keywords, extra_blocks, neb_images, neb_convergence are NOT read by the engine — they're phantom params from earlier skill versions. Use the names above. There is no neb_convergence knob currently exposed.

About OPI input builders

OPI (pip install orca-pi) ships a typed BlockNeb builder. However, the catgo backend's orca_neb_ts node already emits its own %neb block from node params (neb_images, neb_convergence, etc.). Pasting an OPI-built %neb block via extra_blocks would produce two %neb blocks in the same .inp, which is undefined behavior.

For this skill, stick with node params for %neb content and use extra_blocks only for %output. The OPI parsing wins (per-image energy curve, TS imaginary-mode check) still apply. If you need a knob BlockNeb exposes that the node params don't (interpolation, springconst, ts_inputhess, zoom_*, etc.), open that as a node-def gap rather than dual-emitting blocks.

Image count guidelines

System sizeRecommended images
Small molecule (<15 atoms)6-8
Medium molecule (15-50 atoms)8-12
Large molecule (>50 atoms)12-16

More images = smoother path but higher cost (each image is a full DFT calc).

Common Reaction Types

SN2 reaction

  • Charge: -1 (incoming nucleophile)
  • Check that leaving group bond elongates along path

Bond dissociation / formation

  • Usually neutral, singlet
  • Consider if radical pathway needs multiplicity: 3 (triplet)

Proton transfer

  • Include dispersion: dispersion: "D3BJ" (or "D4" for newer Grimme correction)
  • Solvent: CPCM is currently a node-def gap on neb_ts (no first-class field, and extra_keywords is unread). Workaround: gas-phase NEB-TS, then refine TS energy with a CPCM single-point.

Troubleshooting

NEB does not converge

  • Increase neb_images (more interpolation points)
  • Use a better starting path (optimize reactant and product first)
  • Try neb_convergence: "loose" for initial run, then tighten

Wrong TS found

  • Check the imaginary frequency mode -- does it correspond to the expected bond breaking/forming?
  • Try different initial interpolation (reorder atoms so they correspond)

Too expensive

  • Screen with HF-3c or orca_method: "PBE", orca_basis: "def2-SVP" first
  • Refine with better method only on the TS geometry (single-point)

Important Notes

  • Reactant and product MUST have the same atoms in the same order
  • Both structures should be pre-optimized at the same level of theory
  • ORCA NEB-TS automatically switches to CI-NEB after initial convergence
  • The barrier height is the energy difference between the TS and the reactant

Signals

GitHub stars
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Forks
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Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
neb-ts-hello-qm
Source
github.com/hello-qm/catgo-lrg