# Chem Dft Orca Optimization > Run DFT geometry optimization (minimization or TS search) on a molecular structure using ORCA via SCINE/ReaDuct wrapper. - Skill: `learningmatter-mit/chem-dft-orca-optimization` (Agent Skill, multi-file: 6 files) - Install (CLI): `npx skillmds@latest add learningmatter-mit/chem-dft-orca-optimization` - Raw SKILL.md: https://api.skillmd.com/api/skills/learningmatter-mit/chem-dft-orca-optimization/raw - Safety review: pending (external: skill-scanner PASS, skillspector PASS) - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Coding & Dev Tools - Author: learningmatter-mit (https://skillmd.com/u/learningmatter-mit) - Updated: 2026-09-22 - Page: https://skillmd.com/skills/learningmatter-mit/chem-dft-orca-optimization --- # 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)