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chem-dft-orca-optimization

learningmatter-mit/AtomisticSkills/.agents/skills/chem-dft-orca-optimization/SKILL.md

Run DFT geometry optimization (minimization or TS search) on a molecular structure using ORCA via SCINE/ReaDuct wrapper.

Skill172 starsChanged 4 months ago

What's in it

  1. DFT Geometry Optimization with ORCA
  2. Goal
  3. Background
  4. 1. Prerequisites
  5. 2. Parameters
  6. 3. Running an Optimization
  7. Geometry minimization
  8. Transition state optimization
  9. With extra settings (calculator + optimizer)
  10. With implicit solvation
  11. 4. Output Files
  12. 5. Interpreting Results
  13. Minimization
  14. TS Optimization
  15. 6. Constraints
  16. References
---
name: chem-dft-orca-optimization
description: Run DFT geometry optimization (minimization or TS search) on a molecular structure using ORCA via SCINE/ReaDuct wrapper.
category: [chemistry]
---

# DFT Geometry Optimization with ORCA

## Goal

Optimize the geometry of a molecular structure at the DFT level using the ORCA quantum chemistry program. Supports two modes: **minimization** (finding the nearest local minimum) and **transition state (TS) optimization** (single-ended saddle point search). The calculation uses the SCINE/ReaDuct wrapper for robust optimizer management.

> [!IMPORTANT]
> This skill provides **single-ended TS optimization** only. For reaction pathway methods (NEB, IRC), consider using the MLIP-based [NEB skill](../chem-neb-barrier/SKILL.md) or [IRC skill](../chem-irc-verification/SKILL.md) with MLIP pre-screening, then refine with DFT. For advanced ORCA features, use the [advanced ORCA skill](../chem-dft-orca-advanced-calculation/SKILL.md).

## Background

Geometry optimization iteratively adjusts nuclear positions to minimize (or, for TS search, to find a first-order saddle point of) the potential energy surface $E(\mathbf{R})$. The SCINE/ReaDuct optimizer handles step control, coordinate transformations, and convergence criteria internally.

- **Minimization** seeks a stationary point where $\nabla E = 0$ and the Hessian has all positive eigenvalues.
- **TS optimization** seeks a first-order saddle point where $\nabla E = 0$ and the Hessian has exactly one negative eigenvalue.

## 1. Prerequisites

- **Conda environment:** `orca-agent` with `scine_utilities`, `scine_readuct`, and `ase` installed
- **ORCA binary:** The environment variable `ORCA_BINARY_PATH` must point to the ORCA executable
  ```bash
  export ORCA_BINARY_PATH=/path/to/orca
  ```
- **Input structure:** A molecular structure file readable by ASE (`.xyz`, `.cif`, `.mol`, etc.)
- For **TS optimization:** Provide a reasonable TS guess geometry. Poor initial guesses will likely fail to converge to the correct saddle point.

## 2. Parameters

| Parameter | Default | Description |
|-----------|---------|-------------|
| `--structure` | (required) | Path to input structure file |
| `--opt_type` | `min` | `min` for minimization, `ts` for transition state search |
| `--charge` | `0` | Molecular charge |
| `--spin_multiplicity` | `1` | Spin multiplicity (2S+1) |
| `--functional` | `PBE` | DFT functional (e.g. `PBE`, `B3LYP`, `wB97X-V`) |
| `--basis_set` | `def2-SVP` | Basis set (e.g. `def2-SVP`, `def2-TZVP`) |
| `--dispersion` | None | Dispersion correction (e.g. `D3BJ`, `D4`) |
| `--solvation` | None | Implicit solvation model: `CPCM` or `SMD` |
| `--solvent` | None | Solvent name; required if `--solvation` is set |
| `--special_option` | `NOSOSCF` | ORCA special option passed to SCINE calculator. Set to empty string to disable. |
| `--nprocs` | `1` | Number of CPU cores for ORCA |
| `--convergence_max_iterations` | `200` | Maximum optimization steps |
| `--calculate_final_hessian` | off | Compute Hessian at optimized geometry (for TS verification) |
| `--calculator_settings` | None | Extra SCINE calculator settings as a JSON string (see below) |
| `--optimizer_settings` | None | Extra ReaDuct optimizer kwargs as a JSON string (see below) |
| `--output_dir` | auto | Output directory |

## 3. Running an Optimization

### Geometry minimization

```bash
# Env: orca-agent
python .agent/skills/chem-dft-orca-optimization/scripts/run_optimization.py \
    --structure molecule.xyz \
    --functional B3LYP \
    --basis_set def2-TZVP \
    --dispersion D3BJ \
    --nprocs 4 \
    --output_dir research/my_project/optimization
```

### Transition state optimization

```bash
# Env: orca-agent
python .agent/skills/chem-dft-orca-optimization/scripts/run_optimization.py \
    --structure ts_guess.xyz \
    --opt_type ts \
    --functional B3LYP \
    --basis_set def2-TZVP \
    --dispersion D3BJ \
    --calculate_final_hessian \
    --nprocs 4 \
    --output_dir research/my_project/ts_optimization
```

### With extra settings (calculator + optimizer)

For settings not exposed as dedicated flags, pass JSON strings. `--calculator_settings` applies to the SCINE/ORCA calculator, `--optimizer_settings` applies to the ReaDuct optimization task. SCINE is strict about types, so JSON ensures values are passed with the correct type (int, float, string).

```bash
# Env: orca-agent
python .agent/skills/chem-dft-orca-optimization/scripts/run_optimization.py \
    --structure molecule.xyz \
    --functional B3LYP \
    --basis_set def2-TZVP \
    --calculator_settings '{"max_scf_iterations": 128}' \
    --optimizer_settings '{"convergence_delta_value": 1e-6}' \
    --output_dir research/my_project/opt_custom
```

### With implicit solvation

```bash
# Env: orca-agent
python .agent/skills/chem-dft-orca-optimization/scripts/run_optimization.py \
    --structure molecule.xyz \
    --functional PBE0 \
    --basis_set def2-TZVP \
    --solvation SMD \
    --solvent water \
    --nprocs 4 \
    --output_dir research/my_project/opt_solvated
```

## 4. Output Files

- `optimization_results.json`: Structured results containing:
  - `converged`: Boolean indicating whether the optimization converged
  - `final_energy_hartree`, `final_energy_eV`: Final electronic energy
  - `final_max_force_eV_per_Ang`, `final_rms_force_eV_per_Ang`: Residual force information
  - `opt_type`: Whether this was a minimization or TS search
  - If `--calculate_final_hessian` was used: `hessian_eV_per_Ang2`, `hessian_wave_numbers_cm-1`, and `n_imaginary_modes`
  - All input parameters for reproducibility
- `initial_structure.xyz`: Copy of the input structure
- `optimized_structure.xyz`: The optimized geometry

## 5. Interpreting Results

### Minimization
- Check `converged: true` in the results JSON.
- Residual forces should be small (max force < 0.01 eV/A for typical convergence).
- If convergence fails, try increasing `--convergence_max_iterations` or improving the initial geometry.

### TS Optimization
- Convergence alone does not guarantee a valid TS. After convergence, verify the Hessian has exactly one imaginary frequency:
  - **Recommended:** Use `--calculate_final_hessian` to compute the Hessian directly after optimization. The output will include `n_imaginary_modes` — expect exactly 1 for a valid TS.
  - Alternatively, run a separate single-point Hessian with the [singlepoint skill](../chem-dft-orca-singlepoint/SKILL.md) using `--compute_hessian`.
- Inspect the imaginary mode to confirm it corresponds to the expected reaction coordinate.
- If the optimizer converges to a minimum instead of a saddle point, the initial guess was likely too far from the true TS.

## 6. Constraints

- **Non-periodic systems only:** ORCA does not handle periodic boundary conditions.
- **Single-ended TS:** Only single-ended TS optimization is available. For double-ended methods (NEB), pre-screen with MLIPs.
- **TS guess quality:** The TS optimizer requires a reasonable initial guess. Generate one using constrained scans, interpolation, or MLIP-based TS search methods.
- **ORCA binary:** `ORCA_BINARY_PATH` must be set and point to a working ORCA installation.
- **Environment:** All commands require the `orca-agent` conda environment.
- **Solvation:** When using `--solvation`, you must also provide `--solvent`.

## References

- Neese, F., "Software update: The ORCA program system—Version 5.0", *WIREs Comput. Mol. Sci.*, 2022. [DOI](https://doi.org/10.1002/wcms.1606)
- Unsleber, J.P. et al., "SCINE—Software for Chemical Interaction Networks", *J. Chem. Phys.*, 2024. [DOI](https://doi.org/10.1063/5.0206974)

---

**Author:** Miguel Steiner
**Contact:** [GitHub @steinmig](https://github.com/steinmig)

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