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chem-irc-verification

learningmatter-mit/AtomisticSkills/.agents/skills/chem-irc-verification/SKILL.md

Verify non-periodic molecular TS connectivity with forward/reverse IRC using endpoint connectivity and RMSD checks.

Skill172 starsChanged 4 months ago

What's in it

  1. IRC Verification with Sella
  2. Scope
  3. Tool
  4. verifyircsella.py
  5. Use with MACE
  6. Use with FAIRChem (UMA)
  7. Arguments
  8. Outputs
  9. Verification Criterion
  10. Model Guidance
  11. Prerequisites And Constraints
  12. Examples
---
name: chem-irc-verification
description: Verify non-periodic molecular TS connectivity with forward/reverse IRC using endpoint connectivity and RMSD checks.
category: [chemistry]
---

# IRC Verification with Sella

Verify that a saddle-point-optimized TS connects the intended reactant and product.

## Scope

- Domain: molecular chemistry only (non-periodic systems).
- Trigger: user has optimized reactant/product + optimized TS and needs IRC endpoint verification.
- Exclusions: periodic systems and barrier-only workflows.

## Tool

### `verify_irc_sella.py`

Runs forward/reverse IRC from the TS, optionally relaxes endpoints, then checks mapping quality.

### Use with MACE

```bash
# Env: mace-agent
python .agents/skills/chem-irc-verification/scripts/verify_irc_sella.py \
  --reactant reactant_optimized.xyz \
  --product product_optimized.xyz \
  --ts ts_optimized.xyz \
  --model_type mace \
  --model_name MACE-OFF23-small \
  --fmax 0.02 \
  --steps 1000 \
  --rmsd_threshold 0.20 \
  --relax_endpoints true \
  --endpoint_relax_fmax 0.02 \
  --output_dir results/irc
```

### Use with FAIRChem (UMA)

```bash
# Env: fairchem-agent
python .agents/skills/chem-irc-verification/scripts/verify_irc_sella.py \
  --reactant reactant_optimized.xyz \
  --product product_optimized.xyz \
  --ts ts_optimized.xyz \
  --model_type fairchem \
  --model_name uma-s-1p1 \
  --task_name omol \
  --fmax 0.02 \
  --steps 1000 \
  --rmsd_threshold 0.20 \
  --relax_endpoints true \
  --endpoint_relax_fmax 0.02 \
  --output_dir results/irc
```

## Arguments

- `--reactant`: required optimized reactant geometry.
- `--product`: required optimized product geometry.
- `--ts`: required saddle-point-optimized TS geometry.
- `--model_type`: required backend (`mace` or `fairchem`).
- `--model_name`: optional model identifier/checkpoint.
- `--task_name`: optional model head/task (for UMA molecular runs use `omol`).
- `--device`: `auto|cpu|cuda` (default `auto`).
- `--fmax`: IRC convergence threshold in eV/A (default `0.02`).
- `--steps`: maximum IRC steps per direction (default `1000`).
- `--rmsd_threshold`: endpoint RMSD threshold in A (default `0.20`).
- `--relax_endpoints`: `true|false`, relax IRC endpoints before matching (default `true`).
- `--endpoint_relax_fmax`: force threshold for optional endpoint relaxation (default `0.02`).
- `--output_dir`: required output directory.

## Outputs

- `irc_forward.traj`, `irc_reverse.traj`: IRC trajectories.
- `irc_forward.log`, `irc_reverse.log`: IRC logs.
- `irc_forward_endpoint.xyz`, `irc_reverse_endpoint.xyz`: terminal endpoint geometries.
- `irc_verification_results.json`: endpoint assignment and pass/fail summary.

`irc_verification_results.json` fields include:
- selected endpoint assignment (`endpoint_mapping`)
- per-pair metrics (`connectivity_match`, `rmsd_angstrom`, thresholds)
- all candidate assignments with total RMSD
- final decision (`verification_passed`)

## Verification Criterion

Verification passes only if both mapped endpoint-target pairs satisfy:
- same formula and atom order
- connectivity graph match
- Kabsch-aligned RMSD <= `rmsd_threshold`

Default criterion: both pairs must pass with `rmsd_threshold = 0.20 A`.

## Model Guidance

- Recommended for molecules:
  - `MACE-OFF23-small` / `MACE-OFF23-medium`
  - `uma-s-1p1` with `--task_name omol`
- Use the same backend/model/head as TS optimization to avoid model inconsistency.

## Prerequisites And Constraints

- Activate `mace-agent` or `fairchem-agent` depending on backend.
- Script enforces `pbc=False` for all inputs.
- Reactant/product/TS must have identical composition and consistent atom ordering.

## Examples

See `examples/` directory for sample inputs and outputs.
---

**Author:** Juno Nam
**Contact:** [GitHub @recisic](https://github.com/recisic)

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