ORCA NEB-TS Transition State Skill
SkillSearchRequirements: the user MUST provide both a reactant and a product structure. If only one structure is available, ask for the other before proceeding.
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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
- ORCA interpolates images between reactant and product geometries
- NEB optimization finds the minimum energy path
- Climbing-image NEB (CI-NEB) refines the highest-energy image
- The TS is characterized by exactly one imaginary frequency
MCP Tool Examples — proven Expanse submission flow
Use
catgo_workflow(graph-based), NOTcatgo_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 usesmethod/basis, task-based usesorca_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 ``
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_taskdoesn'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. Usereactantandproducthandles explicitly. partition=workq(Shaheen default) is invalid on Expanse → usedebug/shared/compute.partition=debugcapped at 30 min — usesharedfor any real NEB-TS run.- Missing
account=sdp126→ "Invalid account or account/partition combination". - Missing
module_loads+orca_dir→orcanot on PATH; per-image SCFs silently produce nothing. - After re-connecting to Expanse, the session_id changes — re-discover via
/api/hpc/connectionsand updatedefault_session_id+cluster_configskey.
Canonical NEB-TS node params (what the engine actually reads)
| Parameter | Default | Description |
|---|---|---|
method | r2SCAN-3c | DFT functional |
basis | def2-SVP | Basis set (omit for composite methods) |
charge / multiplicity | 0 / 1 | |
dispersion | (none) | D4 | D3BJ | D3 — use this field, NOT extra_keywords |
grid | DefGrid2 | DefGrid1/2/3 |
nimages | 8 | Number of interpolated images |
ts_opt | true | Switch to CI-NEB after convergence |
neb_cycles | 100 | NEB iteration cap |
interpolation | "IDPP" | Initial-path interpolation method |
num_cores / max_core_mb | 8 / 4000 |
⚠️
extra_keywords,extra_blocks,neb_images,neb_convergenceare NOT read by the engine — they're phantom params from earlier skill versions. Use the names above. There is noneb_convergenceknob 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 size | Recommended 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_keywordsis 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-3cororca_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
- 196
- Forks
- 23
- Last commit
- Sep 2026
Advanced
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neb-ts-hello-qm- Source
- github.com/hello-qm/catgo-lrg