Creator · learningmatter-mit
Last updated · Sep 6, 2026
Calculate homolytic and heterolytic bond dissociation energies (BDEs) for all single bonds in a molecule using MLIPs with RDKit fragmentation.
Creator · learningmatter-mit
Last updated · Sep 6, 2026
Calculate homolytic and heterolytic bond dissociation energies (BDEs) for all single bonds in a molecule using MLIPs with RDKit fragmentation.
Creator · learningmatter-mit
Last updated · Sep 6, 2026
Calculate homolytic and heterolytic bond dissociation energies (BDEs) for all single bonds in a molecule using MLIPs with RDKit fragmentation.
Creator · learningmatter-mit
Last updated · Sep 6, 2026
Calculate homolytic and heterolytic bond dissociation energies (BDEs) for all single bonds in a molecule using MLIPs with RDKit fragmentation.
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Install the "chem-bond-dissociation" agent skill from https://github.com/learningmatter-mit/AtomisticSkills/tree/main/.agents/skills/chem-bond-dissociation. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Calculate homolytic and heterolytic bond dissociation energies (BDEs) for all single bonds in a molecule using MLIPs with RDKit fragmentation. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"learningmatter-mit-chem-bond-dissociation","task":"Install chem-bond-dissociation","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
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Alternative shortlist
Similar skills that may fit this task.
Set up and run molecular dynamics simulations of molecules in explicit solvent boxes using Packmol for box construction and MLIPs for dynamics.
Generate molecular conformers with RDKit ETKDG, relax with MLIPs, and rank by energy with Boltzmann weighting.
Run DFT geometry optimization (minimization or TS search) on a molecular structure using ORCA via SCINE/ReaDuct wrapper.
Verify non-periodic molecular TS connectivity with forward/reverse IRC using endpoint connectivity and RMSD checks.
--- name: chem-bond-dissociation description: Calculate homolytic and heterolytic bond dissociation energies (BDEs) for all single bonds in a molecule using MLIPs with RDKit fragmentation. category: [chemistry] ---
# Bond Dissociation Energy Skill
## Goal
Calculate the **homolytic** and/or **heterolytic** bond dissociation energy (BDE) for each single bond in a molecule using Machine Learning Interatomic Potentials (MLIPs).
**Homolytic BDE** (radical fragments): $$\text{BDE}_\text{homo}(A{-}B) = E(A\bullet) + E(B\bullet) - E(A{-}B)$$
**Heterolytic BDE** (ionic fragments, minimum over both polarity variants): $$\text{BDE}_\text{hetero}(A{-}B) = \min\!\bigl(E(A^+)+E(B^-),\; E(A^-)+E(B^+)\bigr) - E(A{-}B)$$
> [!IMPORTANT] > This skill computes BDEs by relaxing both the intact molecule and fragments with an MLIP. For purpose-trained GNN models that predict BDE directly from SMILES (MAE ~0.6 kcal/mol), consider [ALFABET](https://bde.ml.nrel.gov) or BonDNet instead.
## Background
BDE is a fundamental thermodynamic quantity that determines: - **Drug metabolism**: CYP450 enzymes abstract H from the weakest C–H bond - **Electrolyte stability**: Which bonds break first under electrochemical voltage - **Combustion chemistry**: Rate-determining bond-breaking steps in fuel oxidation - **Polymer degradation**: Weakest links in polymer backbone chains
A 2024 study (Zubatyuk et al., *JCTC*) demonstrated that MACE potentials achieve BDE RMSE of 1.37 kcal/mol for aliphatic C–H bonds in drug-like molecules, outperforming semi-empirical methods and ALFABET for BDE **ranking**.
## 1. Prerequisites
- **Conda Environment**: `mace-agent` (includes RDKit, ASE, and MACE) - **Input**: SMILES string or structure file (`.sdf`, `.mol2`) - **RDKit**: Required for bond identification and molecular fragmentation
## 2. Choosing a Foundation Potential
Refer to the [foundation-potentials skill](../ml-foundation-potentials/SKILL.md) for model selection.
> [!IMPORTANT] > **Model requirements by cleavage mode:** > > | Mode | Recommended model | `supports_charge_spin` | Validated? | > |:---|:---|:---|:---| > | `homolytic` | `MACE-OFF23-small/medium/large` | Not required | ✅ | > | `heterolytic` or `both` | **`MACE-OMOL-extra-large`** (env: `mace-agent`) | ✅ Required | ✅ | > | `heterolytic` or `both` | **`MACE-MH-1`** with omol head (env: `mace-agent`) | ✅ Required | ✅ | > | `heterolytic` or `both` | FairChem `uma-s-1p1` with `--task_name omol` (env: `fairchem-agent`) | ✅ Required | ✅ | > > **Setting charge/spin on MACE models:** use `atoms.info["charge"]` and `atoms.info["spin"]` > (the calculator's default `info_keys` maps `"charge"` → `total_charge` / `"spin"` → `total_spin`). > Both MACE-OMOL and MACE-MH use `joint_embedding` to condition the network on these scalars. > > If you request `--cleavage both` with a model that does **not** support charge/spin, > the skill will log a warning and silently fall back to homolytic-only. > Using `--cleavage heterolytic` with an unsupported model raises an error. > > **Note on single-atom fragments:** When a bond produces a bare H (or other single atom), > heterolytic BDE is automatically skipped — neither MACE nor FairChem UMA has signed > single-atom energies (only neutral H, C, N, O… are in the reference tables).
## 3. Calculation Workflow
### Step 1: Provide a molecule
```bash # SMILES input (most common) --smiles "CCO"
# Or from a structure file --structure molecule.sdf ```
### Step 2: Run BDE calculation
**Homolytic only** (default, no charge/spin needed): ```bash # Env: mace-agent python .agents/skills/chem-bond-dissociation/scripts/calculate_bde.py \ --smiles CCO \ --all_bonds \ --cleavage homolytic \ --model_type mace \ --model_name MACE-OFF23-small \ --output_dir research/my_folder/bde_results ```
**Both homolytic and heterolytic** (MACE-OMOL): ```bash # Env: mace-agent python .agents/skills/chem-bond-dissociation/scripts/calculate_bde.py \ --smiles CCO \ --all_bonds \ --cleavage both \ --model_type mace \ --model_name MACE-OMOL-extra-large \ --output_dir research/my_folder/bde_results_both ```
**Both homolytic and heterolytic** (FairChem UMA omol): ```bash # Env: fairchem-agent python .agents/skills/chem-bond-dissociation/scripts/calculate_bde.py \ --smiles CCO \ --all_bonds \ --cleavage both \ --model_type fairchem \ --model_name uma-s-1p1 \ --task_name omol \ --output_dir research/my_folder/bde_results_both ```
**Heterolytic only** with FairChem UMA: ```bash # Env: fairchem-agent python .agents/skills/chem-bond-dissociation/scripts/calculate_bde.py \ --smiles CCO \ --all_bonds \ --cleavage heterolytic \ --model_type fairchem \ --model_name uma-s-1p1 \ --task_name omol \ --output_dir research/my_folder/bde_hetero ```
### Key Parameters
| Argument | Default | Description | |:---|:---|:---| | `--smiles` | — | SMILES string of the molecule | | `--structure` | — | Path to structure file (`.sdf`, `.mol2`) | | `--bond` | — | Specific bond as atom indices `"i-j"` (0-indexed) | | `--all_bonds` | `True` | Compute BDE for all single bonds | | `--include_h_bonds` | `False` | Include X–H bonds | | `--cleavage` | `homolytic` | `homolytic`, `heterolytic`, or `both` | | `--model_type` | `mace` | MLIP backend (`mace`, `fairchem`) | | `--model_name` | auto | Model checkpoint (default: `MACE-OFF23-small` for homolytic; `uma-s-1p1` for hetero/both) | | `--task_name` | — | Task head for multi-task models (e.g. `omol` for FairChem UMA) | | `--fmax` | `0.01` | Force convergence for relaxation (eV/Å) | | `--output_dir` | required | Output directory |
## 4. Output Files
- **`bde_results.json`** — Full results including: - `metadata`: model name, cleavage mode, `supports_charge_spin`, SMILES, etc. - `intact_energy_eV`: Energy of the relaxed intact molecule - `bonds`: List of per-bond results: - `bde_eV`, `bde_kJ_mol`, `bde_kcal_mol`: Homolytic BDE (if computed) - `heterolytic_bde_eV`, `heterolytic_bde_kJ_mol`, `heterolytic_bde_kcal_mol`: Best heterolytic BDE (if computed) - `heterolytic_best_variant`: Which polarity won (`"frag1+ / frag2-"` or `"frag1- / frag2+"`) - `heterolytic_variants`: Raw results for both polarity variants - `weakest_bond_homolytic`, `weakest_bond_heterolytic`: Summary of weakest bonds - `bonds_ranked_by_homolytic_bde`, `bonds_ranked_by_heterolytic_bde`: Sorted tables
- **`intact_relaxed.xyz`**: Relaxed intact molecule - **`frag_bond{N}_homo_{1,2}.xyz`**: Homolytic radical fragments - **`frag_bond{N}_hetero_pos_neg_{1,2}.xyz`**: Heterolytic cation/anion fragments (variant A) - **`frag_bond{N}_hetero_neg_pos_{1,2}.xyz`**: Heterolytic anion/cation fragments (variant B)
## 5. Examples
| Example | Model | Cleavage | Notes | |:---|:---|:---|:---| | [`examples/ethanol_mace_off23_small/`](examples/ethanol_mace_off23_small/) | MACE-OFF23-small | `homolytic` | Standard homolytic BDE for ethanol; includes H bonds | | [`examples/methanol_mace_omol_both/`](examples/methanol_mace_omol_both/) | MACE-OMOL-extra-large | `both` | Homo + heterolytic for methanol; C–O hetero = 90 vs homo = 143 kcal/mol | | [`examples/methanol_uma_omol_both/`](examples/methanol_uma_omol_both/) | FairChem UMA omol | `both` | Homo + heterolytic for methanol; C–O hetero = 157 vs homo = 126 kcal/mol |
### Ethanol — Homolytic BDE (MACE-OFF23)
```bash # Env: mace-agent python .agents/skills/chem-bond-dissociation/scripts/calculate_bde.py \ --smiles CCO \ --all_bonds \ --include_h_bonds \ --cleavage homolytic \ --model_type mace \ --model_name MACE-OFF23-small \ --output_dir .agents/skills/chem-bond-dissociation/examples/ethanol_mace_off23_small ```
### Methanol — Both Homo and Heterolytic BDE (FairChem UMA omol)
```bash # Env: fairchem-agent python .agents/skills/chem-bond-dissociation/scripts/calculate_bde.py \ --smiles CO \ --all_bonds \ --include_h_bonds \ --cleavage both \ --model_type fairchem \ --model_name uma-s-1p1 \ --task_name omol \ --output_dir .agents/skills/chem-bond-dissociation/examples/methanol_uma_omol_both ```
Experimental BDEs for ethanol (Blanksby & Ellison, 2003): | Bond | Experimental BDE (kcal/mol) | |:---|:---| | O–H | ~104 | | C–H (methyl) | ~101 | | C–H (methylene) | ~95 | | C–C | ~85 | | C–O | ~92 |
## 6. Constraints
- **Radical spin states**: For homolytic BDE, MLIPs are generally "electron-agnostic" and treat fragments as neutral regardless of spin state. BDE **ranking** is typically more reliable than absolute values. - **Ionic states**: Heterolytic BDE requires a charge/spin-aware model (`supports_charge_spin=True`). Validated: **MACE-OMOL**, **MACE-MH** (omol head), and **FairChem UMA omol**. These models use `atoms.info["charge"]` and `atoms.info["spin"]` to condition on the ionic state. Models without this flag raise an error for `--cleavage heterolytic`. - **Ring bonds**: Breaking bonds in rings produces a single open-chain diradical. The script will warn and skip ring bonds. - **Accuracy**: Expect ~2–5 kcal/mol error for homolytic BDEs with MACE-OFF23. Heterolytic accuracy is less benchmarked with current MLIPs. - **Environments**: - `mace-agent` for MACE models - `fairchem-agent` for FairChem/UMA models
## References
- Blanksby & Ellison, "Bond Dissociation Energies of Organic Molecules", *Acc. Chem. Res.* **2003**, 36, 255. - St. John et al., "Prediction of organic homolytic bond dissociation enthalpies at near chemical accuracy with sub-second computational cost", *Nat. Commun.* **2020**, 11, 2328. (ALFABET) - Zubatyuk et al., "A Transferable MACE Potential for Open- and Closed-Shell Drug-Like Molecules", *J. Chem. Theory Comput.* **2024**.
---
**Author:** Bowen Deng **Contact:** [GitHub @learningmatter-mit](https://github.com/learningmatter-mit)
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chem-solution-md
Set up and run molecular dynamics simulations of molecules in explicit solvent boxes using Packmol for box construction and MLIPs for dynamics.
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Generate molecular conformers with RDKit ETKDG, relax with MLIPs, and rank by energy with Boltzmann weighting.
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Run DFT geometry optimization (minimization or TS search) on a molecular structure using ORCA via SCINE/ReaDuct wrapper.
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Install the "chem-bond-dissociation" agent skill from https://github.com/learningmatter-mit/AtomisticSkills/tree/main/.agents/skills/chem-bond-dissociation. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Calculate homolytic and heterolytic bond dissociation energies (BDEs) for all single bonds in a molecule using MLIPs with RDKit fragmentation. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"learningmatter-mit-chem-bond-dissociation","task":"Install chem-bond-dissociation","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
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Set up and run molecular dynamics simulations of molecules in explicit solvent boxes using Packmol for box construction and MLIPs for dynamics.
Generate molecular conformers with RDKit ETKDG, relax with MLIPs, and rank by energy with Boltzmann weighting.
Run DFT geometry optimization (minimization or TS search) on a molecular structure using ORCA via SCINE/ReaDuct wrapper.
Verify non-periodic molecular TS connectivity with forward/reverse IRC using endpoint connectivity and RMSD checks.
--- name: chem-bond-dissociation description: Calculate homolytic and heterolytic bond dissociation energies (BDEs) for all single bonds in a molecule using MLIPs with RDKit fragmentation. category: [chemistry] ---
# Bond Dissociation Energy Skill
## Goal
Calculate the **homolytic** and/or **heterolytic** bond dissociation energy (BDE) for each single bond in a molecule using Machine Learning Interatomic Potentials (MLIPs).
**Homolytic BDE** (radical fragments): $$\text{BDE}_\text{homo}(A{-}B) = E(A\bullet) + E(B\bullet) - E(A{-}B)$$
**Heterolytic BDE** (ionic fragments, minimum over both polarity variants): $$\text{BDE}_\text{hetero}(A{-}B) = \min\!\bigl(E(A^+)+E(B^-),\; E(A^-)+E(B^+)\bigr) - E(A{-}B)$$
> [!IMPORTANT] > This skill computes BDEs by relaxing both the intact molecule and fragments with an MLIP. For purpose-trained GNN models that predict BDE directly from SMILES (MAE ~0.6 kcal/mol), consider [ALFABET](https://bde.ml.nrel.gov) or BonDNet instead.
## Background
BDE is a fundamental thermodynamic quantity that determines: - **Drug metabolism**: CYP450 enzymes abstract H from the weakest C–H bond - **Electrolyte stability**: Which bonds break first under electrochemical voltage - **Combustion chemistry**: Rate-determining bond-breaking steps in fuel oxidation - **Polymer degradation**: Weakest links in polymer backbone chains
A 2024 study (Zubatyuk et al., *JCTC*) demonstrated that MACE potentials achieve BDE RMSE of 1.37 kcal/mol for aliphatic C–H bonds in drug-like molecules, outperforming semi-empirical methods and ALFABET for BDE **ranking**.
## 1. Prerequisites
- **Conda Environment**: `mace-agent` (includes RDKit, ASE, and MACE) - **Input**: SMILES string or structure file (`.sdf`, `.mol2`) - **RDKit**: Required for bond identification and molecular fragmentation
## 2. Choosing a Foundation Potential
Refer to the [foundation-potentials skill](../ml-foundation-potentials/SKILL.md) for model selection.
> [!IMPORTANT] > **Model requirements by cleavage mode:** > > | Mode | Recommended model | `supports_charge_spin` | Validated? | > |:---|:---|:---|:---| > | `homolytic` | `MACE-OFF23-small/medium/large` | Not required | ✅ | > | `heterolytic` or `both` | **`MACE-OMOL-extra-large`** (env: `mace-agent`) | ✅ Required | ✅ | > | `heterolytic` or `both` | **`MACE-MH-1`** with omol head (env: `mace-agent`) | ✅ Required | ✅ | > | `heterolytic` or `both` | FairChem `uma-s-1p1` with `--task_name omol` (env: `fairchem-agent`) | ✅ Required | ✅ | > > **Setting charge/spin on MACE models:** use `atoms.info["charge"]` and `atoms.info["spin"]` > (the calculator's default `info_keys` maps `"charge"` → `total_charge` / `"spin"` → `total_spin`). > Both MACE-OMOL and MACE-MH use `joint_embedding` to condition the network on these scalars. > > If you request `--cleavage both` with a model that does **not** support charge/spin, > the skill will log a warning and silently fall back to homolytic-only. > Using `--cleavage heterolytic` with an unsupported model raises an error. > > **Note on single-atom fragments:** When a bond produces a bare H (or other single atom), > heterolytic BDE is automatically skipped — neither MACE nor FairChem UMA has signed > single-atom energies (only neutral H, C, N, O… are in the reference tables).
## 3. Calculation Workflow
### Step 1: Provide a molecule
```bash # SMILES input (most common) --smiles "CCO"
# Or from a structure file --structure molecule.sdf ```
### Step 2: Run BDE calculation
**Homolytic only** (default, no charge/spin needed): ```bash # Env: mace-agent python .agents/skills/chem-bond-dissociation/scripts/calculate_bde.py \ --smiles CCO \ --all_bonds \ --cleavage homolytic \ --model_type mace \ --model_name MACE-OFF23-small \ --output_dir research/my_folder/bde_results ```
**Both homolytic and heterolytic** (MACE-OMOL): ```bash # Env: mace-agent python .agents/skills/chem-bond-dissociation/scripts/calculate_bde.py \ --smiles CCO \ --all_bonds \ --cleavage both \ --model_type mace \ --model_name MACE-OMOL-extra-large \ --output_dir research/my_folder/bde_results_both ```
**Both homolytic and heterolytic** (FairChem UMA omol): ```bash # Env: fairchem-agent python .agents/skills/chem-bond-dissociation/scripts/calculate_bde.py \ --smiles CCO \ --all_bonds \ --cleavage both \ --model_type fairchem \ --model_name uma-s-1p1 \ --task_name omol \ --output_dir research/my_folder/bde_results_both ```
**Heterolytic only** with FairChem UMA: ```bash # Env: fairchem-agent python .agents/skills/chem-bond-dissociation/scripts/calculate_bde.py \ --smiles CCO \ --all_bonds \ --cleavage heterolytic \ --model_type fairchem \ --model_name uma-s-1p1 \ --task_name omol \ --output_dir research/my_folder/bde_hetero ```
### Key Parameters
| Argument | Default | Description | |:---|:---|:---| | `--smiles` | — | SMILES string of the molecule | | `--structure` | — | Path to structure file (`.sdf`, `.mol2`) | | `--bond` | — | Specific bond as atom indices `"i-j"` (0-indexed) | | `--all_bonds` | `True` | Compute BDE for all single bonds | | `--include_h_bonds` | `False` | Include X–H bonds | | `--cleavage` | `homolytic` | `homolytic`, `heterolytic`, or `both` | | `--model_type` | `mace` | MLIP backend (`mace`, `fairchem`) | | `--model_name` | auto | Model checkpoint (default: `MACE-OFF23-small` for homolytic; `uma-s-1p1` for hetero/both) | | `--task_name` | — | Task head for multi-task models (e.g. `omol` for FairChem UMA) | | `--fmax` | `0.01` | Force convergence for relaxation (eV/Å) | | `--output_dir` | required | Output directory |
## 4. Output Files
- **`bde_results.json`** — Full results including: - `metadata`: model name, cleavage mode, `supports_charge_spin`, SMILES, etc. - `intact_energy_eV`: Energy of the relaxed intact molecule - `bonds`: List of per-bond results: - `bde_eV`, `bde_kJ_mol`, `bde_kcal_mol`: Homolytic BDE (if computed) - `heterolytic_bde_eV`, `heterolytic_bde_kJ_mol`, `heterolytic_bde_kcal_mol`: Best heterolytic BDE (if computed) - `heterolytic_best_variant`: Which polarity won (`"frag1+ / frag2-"` or `"frag1- / frag2+"`) - `heterolytic_variants`: Raw results for both polarity variants - `weakest_bond_homolytic`, `weakest_bond_heterolytic`: Summary of weakest bonds - `bonds_ranked_by_homolytic_bde`, `bonds_ranked_by_heterolytic_bde`: Sorted tables
- **`intact_relaxed.xyz`**: Relaxed intact molecule - **`frag_bond{N}_homo_{1,2}.xyz`**: Homolytic radical fragments - **`frag_bond{N}_hetero_pos_neg_{1,2}.xyz`**: Heterolytic cation/anion fragments (variant A) - **`frag_bond{N}_hetero_neg_pos_{1,2}.xyz`**: Heterolytic anion/cation fragments (variant B)
## 5. Examples
| Example | Model | Cleavage | Notes | |:---|:---|:---|:---| | [`examples/ethanol_mace_off23_small/`](examples/ethanol_mace_off23_small/) | MACE-OFF23-small | `homolytic` | Standard homolytic BDE for ethanol; includes H bonds | | [`examples/methanol_mace_omol_both/`](examples/methanol_mace_omol_both/) | MACE-OMOL-extra-large | `both` | Homo + heterolytic for methanol; C–O hetero = 90 vs homo = 143 kcal/mol | | [`examples/methanol_uma_omol_both/`](examples/methanol_uma_omol_both/) | FairChem UMA omol | `both` | Homo + heterolytic for methanol; C–O hetero = 157 vs homo = 126 kcal/mol |
### Ethanol — Homolytic BDE (MACE-OFF23)
```bash # Env: mace-agent python .agents/skills/chem-bond-dissociation/scripts/calculate_bde.py \ --smiles CCO \ --all_bonds \ --include_h_bonds \ --cleavage homolytic \ --model_type mace \ --model_name MACE-OFF23-small \ --output_dir .agents/skills/chem-bond-dissociation/examples/ethanol_mace_off23_small ```
### Methanol — Both Homo and Heterolytic BDE (FairChem UMA omol)
```bash # Env: fairchem-agent python .agents/skills/chem-bond-dissociation/scripts/calculate_bde.py \ --smiles CO \ --all_bonds \ --include_h_bonds \ --cleavage both \ --model_type fairchem \ --model_name uma-s-1p1 \ --task_name omol \ --output_dir .agents/skills/chem-bond-dissociation/examples/methanol_uma_omol_both ```
Experimental BDEs for ethanol (Blanksby & Ellison, 2003): | Bond | Experimental BDE (kcal/mol) | |:---|:---| | O–H | ~104 | | C–H (methyl) | ~101 | | C–H (methylene) | ~95 | | C–C | ~85 | | C–O | ~92 |
## 6. Constraints
- **Radical spin states**: For homolytic BDE, MLIPs are generally "electron-agnostic" and treat fragments as neutral regardless of spin state. BDE **ranking** is typically more reliable than absolute values. - **Ionic states**: Heterolytic BDE requires a charge/spin-aware model (`supports_charge_spin=True`). Validated: **MACE-OMOL**, **MACE-MH** (omol head), and **FairChem UMA omol**. These models use `atoms.info["charge"]` and `atoms.info["spin"]` to condition on the ionic state. Models without this flag raise an error for `--cleavage heterolytic`. - **Ring bonds**: Breaking bonds in rings produces a single open-chain diradical. The script will warn and skip ring bonds. - **Accuracy**: Expect ~2–5 kcal/mol error for homolytic BDEs with MACE-OFF23. Heterolytic accuracy is less benchmarked with current MLIPs. - **Environments**: - `mace-agent` for MACE models - `fairchem-agent` for FairChem/UMA models
## References
- Blanksby & Ellison, "Bond Dissociation Energies of Organic Molecules", *Acc. Chem. Res.* **2003**, 36, 255. - St. John et al., "Prediction of organic homolytic bond dissociation enthalpies at near chemical accuracy with sub-second computational cost", *Nat. Commun.* **2020**, 11, 2328. (ALFABET) - Zubatyuk et al., "A Transferable MACE Potential for Open- and Closed-Shell Drug-Like Molecules", *J. Chem. Theory Comput.* **2024**.
---
**Author:** Bowen Deng **Contact:** [GitHub @learningmatter-mit](https://github.com/learningmatter-mit)
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Set up and run molecular dynamics simulations of molecules in explicit solvent boxes using Packmol for box construction and MLIPs for dynamics.
Generate molecular conformers with RDKit ETKDG, relax with MLIPs, and rank by energy with Boltzmann weighting.
Run DFT geometry optimization (minimization or TS search) on a molecular structure using ORCA via SCINE/ReaDuct wrapper.
Verify non-periodic molecular TS connectivity with forward/reverse IRC using endpoint connectivity and RMSD checks.
--- name: chem-bond-dissociation description: Calculate homolytic and heterolytic bond dissociation energies (BDEs) for all single bonds in a molecule using MLIPs with RDKit fragmentation. category: [chemistry] ---
# Bond Dissociation Energy Skill
## Goal
Calculate the **homolytic** and/or **heterolytic** bond dissociation energy (BDE) for each single bond in a molecule using Machine Learning Interatomic Potentials (MLIPs).
**Homolytic BDE** (radical fragments): $$\text{BDE}_\text{homo}(A{-}B) = E(A\bullet) + E(B\bullet) - E(A{-}B)$$
**Heterolytic BDE** (ionic fragments, minimum over both polarity variants): $$\text{BDE}_\text{hetero}(A{-}B) = \min\!\bigl(E(A^+)+E(B^-),\; E(A^-)+E(B^+)\bigr) - E(A{-}B)$$
> [!IMPORTANT] > This skill computes BDEs by relaxing both the intact molecule and fragments with an MLIP. For purpose-trained GNN models that predict BDE directly from SMILES (MAE ~0.6 kcal/mol), consider [ALFABET](https://bde.ml.nrel.gov) or BonDNet instead.
## Background
BDE is a fundamental thermodynamic quantity that determines: - **Drug metabolism**: CYP450 enzymes abstract H from the weakest C–H bond - **Electrolyte stability**: Which bonds break first under electrochemical voltage - **Combustion chemistry**: Rate-determining bond-breaking steps in fuel oxidation - **Polymer degradation**: Weakest links in polymer backbone chains
A 2024 study (Zubatyuk et al., *JCTC*) demonstrated that MACE potentials achieve BDE RMSE of 1.37 kcal/mol for aliphatic C–H bonds in drug-like molecules, outperforming semi-empirical methods and ALFABET for BDE **ranking**.
## 1. Prerequisites
- **Conda Environment**: `mace-agent` (includes RDKit, ASE, and MACE) - **Input**: SMILES string or structure file (`.sdf`, `.mol2`) - **RDKit**: Required for bond identification and molecular fragmentation
## 2. Choosing a Foundation Potential
Refer to the [foundation-potentials skill](../ml-foundation-potentials/SKILL.md) for model selection.
> [!IMPORTANT] > **Model requirements by cleavage mode:** > > | Mode | Recommended model | `supports_charge_spin` | Validated? | > |:---|:---|:---|:---| > | `homolytic` | `MACE-OFF23-small/medium/large` | Not required | ✅ | > | `heterolytic` or `both` | **`MACE-OMOL-extra-large`** (env: `mace-agent`) | ✅ Required | ✅ | > | `heterolytic` or `both` | **`MACE-MH-1`** with omol head (env: `mace-agent`) | ✅ Required | ✅ | > | `heterolytic` or `both` | FairChem `uma-s-1p1` with `--task_name omol` (env: `fairchem-agent`) | ✅ Required | ✅ | > > **Setting charge/spin on MACE models:** use `atoms.info["charge"]` and `atoms.info["spin"]` > (the calculator's default `info_keys` maps `"charge"` → `total_charge` / `"spin"` → `total_spin`). > Both MACE-OMOL and MACE-MH use `joint_embedding` to condition the network on these scalars. > > If you request `--cleavage both` with a model that does **not** support charge/spin, > the skill will log a warning and silently fall back to homolytic-only. > Using `--cleavage heterolytic` with an unsupported model raises an error. > > **Note on single-atom fragments:** When a bond produces a bare H (or other single atom), > heterolytic BDE is automatically skipped — neither MACE nor FairChem UMA has signed > single-atom energies (only neutral H, C, N, O… are in the reference tables).
## 3. Calculation Workflow
### Step 1: Provide a molecule
```bash # SMILES input (most common) --smiles "CCO"
# Or from a structure file --structure molecule.sdf ```
### Step 2: Run BDE calculation
**Homolytic only** (default, no charge/spin needed): ```bash # Env: mace-agent python .agents/skills/chem-bond-dissociation/scripts/calculate_bde.py \ --smiles CCO \ --all_bonds \ --cleavage homolytic \ --model_type mace \ --model_name MACE-OFF23-small \ --output_dir research/my_folder/bde_results ```
**Both homolytic and heterolytic** (MACE-OMOL): ```bash # Env: mace-agent python .agents/skills/chem-bond-dissociation/scripts/calculate_bde.py \ --smiles CCO \ --all_bonds \ --cleavage both \ --model_type mace \ --model_name MACE-OMOL-extra-large \ --output_dir research/my_folder/bde_results_both ```
**Both homolytic and heterolytic** (FairChem UMA omol): ```bash # Env: fairchem-agent python .agents/skills/chem-bond-dissociation/scripts/calculate_bde.py \ --smiles CCO \ --all_bonds \ --cleavage both \ --model_type fairchem \ --model_name uma-s-1p1 \ --task_name omol \ --output_dir research/my_folder/bde_results_both ```
**Heterolytic only** with FairChem UMA: ```bash # Env: fairchem-agent python .agents/skills/chem-bond-dissociation/scripts/calculate_bde.py \ --smiles CCO \ --all_bonds \ --cleavage heterolytic \ --model_type fairchem \ --model_name uma-s-1p1 \ --task_name omol \ --output_dir research/my_folder/bde_hetero ```
### Key Parameters
| Argument | Default | Description | |:---|:---|:---| | `--smiles` | — | SMILES string of the molecule | | `--structure` | — | Path to structure file (`.sdf`, `.mol2`) | | `--bond` | — | Specific bond as atom indices `"i-j"` (0-indexed) | | `--all_bonds` | `True` | Compute BDE for all single bonds | | `--include_h_bonds` | `False` | Include X–H bonds | | `--cleavage` | `homolytic` | `homolytic`, `heterolytic`, or `both` | | `--model_type` | `mace` | MLIP backend (`mace`, `fairchem`) | | `--model_name` | auto | Model checkpoint (default: `MACE-OFF23-small` for homolytic; `uma-s-1p1` for hetero/both) | | `--task_name` | — | Task head for multi-task models (e.g. `omol` for FairChem UMA) | | `--fmax` | `0.01` | Force convergence for relaxation (eV/Å) | | `--output_dir` | required | Output directory |
## 4. Output Files
- **`bde_results.json`** — Full results including: - `metadata`: model name, cleavage mode, `supports_charge_spin`, SMILES, etc. - `intact_energy_eV`: Energy of the relaxed intact molecule - `bonds`: List of per-bond results: - `bde_eV`, `bde_kJ_mol`, `bde_kcal_mol`: Homolytic BDE (if computed) - `heterolytic_bde_eV`, `heterolytic_bde_kJ_mol`, `heterolytic_bde_kcal_mol`: Best heterolytic BDE (if computed) - `heterolytic_best_variant`: Which polarity won (`"frag1+ / frag2-"` or `"frag1- / frag2+"`) - `heterolytic_variants`: Raw results for both polarity variants - `weakest_bond_homolytic`, `weakest_bond_heterolytic`: Summary of weakest bonds - `bonds_ranked_by_homolytic_bde`, `bonds_ranked_by_heterolytic_bde`: Sorted tables
- **`intact_relaxed.xyz`**: Relaxed intact molecule - **`frag_bond{N}_homo_{1,2}.xyz`**: Homolytic radical fragments - **`frag_bond{N}_hetero_pos_neg_{1,2}.xyz`**: Heterolytic cation/anion fragments (variant A) - **`frag_bond{N}_hetero_neg_pos_{1,2}.xyz`**: Heterolytic anion/cation fragments (variant B)
## 5. Examples
| Example | Model | Cleavage | Notes | |:---|:---|:---|:---| | [`examples/ethanol_mace_off23_small/`](examples/ethanol_mace_off23_small/) | MACE-OFF23-small | `homolytic` | Standard homolytic BDE for ethanol; includes H bonds | | [`examples/methanol_mace_omol_both/`](examples/methanol_mace_omol_both/) | MACE-OMOL-extra-large | `both` | Homo + heterolytic for methanol; C–O hetero = 90 vs homo = 143 kcal/mol | | [`examples/methanol_uma_omol_both/`](examples/methanol_uma_omol_both/) | FairChem UMA omol | `both` | Homo + heterolytic for methanol; C–O hetero = 157 vs homo = 126 kcal/mol |
### Ethanol — Homolytic BDE (MACE-OFF23)
```bash # Env: mace-agent python .agents/skills/chem-bond-dissociation/scripts/calculate_bde.py \ --smiles CCO \ --all_bonds \ --include_h_bonds \ --cleavage homolytic \ --model_type mace \ --model_name MACE-OFF23-small \ --output_dir .agents/skills/chem-bond-dissociation/examples/ethanol_mace_off23_small ```
### Methanol — Both Homo and Heterolytic BDE (FairChem UMA omol)
```bash # Env: fairchem-agent python .agents/skills/chem-bond-dissociation/scripts/calculate_bde.py \ --smiles CO \ --all_bonds \ --include_h_bonds \ --cleavage both \ --model_type fairchem \ --model_name uma-s-1p1 \ --task_name omol \ --output_dir .agents/skills/chem-bond-dissociation/examples/methanol_uma_omol_both ```
Experimental BDEs for ethanol (Blanksby & Ellison, 2003): | Bond | Experimental BDE (kcal/mol) | |:---|:---| | O–H | ~104 | | C–H (methyl) | ~101 | | C–H (methylene) | ~95 | | C–C | ~85 | | C–O | ~92 |
## 6. Constraints
- **Radical spin states**: For homolytic BDE, MLIPs are generally "electron-agnostic" and treat fragments as neutral regardless of spin state. BDE **ranking** is typically more reliable than absolute values. - **Ionic states**: Heterolytic BDE requires a charge/spin-aware model (`supports_charge_spin=True`). Validated: **MACE-OMOL**, **MACE-MH** (omol head), and **FairChem UMA omol**. These models use `atoms.info["charge"]` and `atoms.info["spin"]` to condition on the ionic state. Models without this flag raise an error for `--cleavage heterolytic`. - **Ring bonds**: Breaking bonds in rings produces a single open-chain diradical. The script will warn and skip ring bonds. - **Accuracy**: Expect ~2–5 kcal/mol error for homolytic BDEs with MACE-OFF23. Heterolytic accuracy is less benchmarked with current MLIPs. - **Environments**: - `mace-agent` for MACE models - `fairchem-agent` for FairChem/UMA models
## References
- Blanksby & Ellison, "Bond Dissociation Energies of Organic Molecules", *Acc. Chem. Res.* **2003**, 36, 255. - St. John et al., "Prediction of organic homolytic bond dissociation enthalpies at near chemical accuracy with sub-second computational cost", *Nat. Commun.* **2020**, 11, 2328. (ALFABET) - Zubatyuk et al., "A Transferable MACE Potential for Open- and Closed-Shell Drug-Like Molecules", *J. Chem. Theory Comput.* **2024**.
---
**Author:** Bowen Deng **Contact:** [GitHub @learningmatter-mit](https://github.com/learningmatter-mit)
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Set up and run molecular dynamics simulations of molecules in explicit solvent boxes using Packmol for box construction and MLIPs for dynamics.
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Install the "chem-bond-dissociation" agent skill from https://github.com/learningmatter-mit/AtomisticSkills/tree/main/.agents/skills/chem-bond-dissociation. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Calculate homolytic and heterolytic bond dissociation energies (BDEs) for all single bonds in a molecule using MLIPs with RDKit fragmentation. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"learningmatter-mit-chem-bond-dissociation","task":"Install chem-bond-dissociation","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
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Set up and run molecular dynamics simulations of molecules in explicit solvent boxes using Packmol for box construction and MLIPs for dynamics.
Generate molecular conformers with RDKit ETKDG, relax with MLIPs, and rank by energy with Boltzmann weighting.
Run DFT geometry optimization (minimization or TS search) on a molecular structure using ORCA via SCINE/ReaDuct wrapper.
Verify non-periodic molecular TS connectivity with forward/reverse IRC using endpoint connectivity and RMSD checks.
--- name: chem-bond-dissociation description: Calculate homolytic and heterolytic bond dissociation energies (BDEs) for all single bonds in a molecule using MLIPs with RDKit fragmentation. category: [chemistry] ---
# Bond Dissociation Energy Skill
## Goal
Calculate the **homolytic** and/or **heterolytic** bond dissociation energy (BDE) for each single bond in a molecule using Machine Learning Interatomic Potentials (MLIPs).
**Homolytic BDE** (radical fragments): $$\text{BDE}_\text{homo}(A{-}B) = E(A\bullet) + E(B\bullet) - E(A{-}B)$$
**Heterolytic BDE** (ionic fragments, minimum over both polarity variants): $$\text{BDE}_\text{hetero}(A{-}B) = \min\!\bigl(E(A^+)+E(B^-),\; E(A^-)+E(B^+)\bigr) - E(A{-}B)$$
> [!IMPORTANT] > This skill computes BDEs by relaxing both the intact molecule and fragments with an MLIP. For purpose-trained GNN models that predict BDE directly from SMILES (MAE ~0.6 kcal/mol), consider [ALFABET](https://bde.ml.nrel.gov) or BonDNet instead.
## Background
BDE is a fundamental thermodynamic quantity that determines: - **Drug metabolism**: CYP450 enzymes abstract H from the weakest C–H bond - **Electrolyte stability**: Which bonds break first under electrochemical voltage - **Combustion chemistry**: Rate-determining bond-breaking steps in fuel oxidation - **Polymer degradation**: Weakest links in polymer backbone chains
A 2024 study (Zubatyuk et al., *JCTC*) demonstrated that MACE potentials achieve BDE RMSE of 1.37 kcal/mol for aliphatic C–H bonds in drug-like molecules, outperforming semi-empirical methods and ALFABET for BDE **ranking**.
## 1. Prerequisites
- **Conda Environment**: `mace-agent` (includes RDKit, ASE, and MACE) - **Input**: SMILES string or structure file (`.sdf`, `.mol2`) - **RDKit**: Required for bond identification and molecular fragmentation
## 2. Choosing a Foundation Potential
Refer to the [foundation-potentials skill](../ml-foundation-potentials/SKILL.md) for model selection.
> [!IMPORTANT] > **Model requirements by cleavage mode:** > > | Mode | Recommended model | `supports_charge_spin` | Validated? | > |:---|:---|:---|:---| > | `homolytic` | `MACE-OFF23-small/medium/large` | Not required | ✅ | > | `heterolytic` or `both` | **`MACE-OMOL-extra-large`** (env: `mace-agent`) | ✅ Required | ✅ | > | `heterolytic` or `both` | **`MACE-MH-1`** with omol head (env: `mace-agent`) | ✅ Required | ✅ | > | `heterolytic` or `both` | FairChem `uma-s-1p1` with `--task_name omol` (env: `fairchem-agent`) | ✅ Required | ✅ | > > **Setting charge/spin on MACE models:** use `atoms.info["charge"]` and `atoms.info["spin"]` > (the calculator's default `info_keys` maps `"charge"` → `total_charge` / `"spin"` → `total_spin`). > Both MACE-OMOL and MACE-MH use `joint_embedding` to condition the network on these scalars. > > If you request `--cleavage both` with a model that does **not** support charge/spin, > the skill will log a warning and silently fall back to homolytic-only. > Using `--cleavage heterolytic` with an unsupported model raises an error. > > **Note on single-atom fragments:** When a bond produces a bare H (or other single atom), > heterolytic BDE is automatically skipped — neither MACE nor FairChem UMA has signed > single-atom energies (only neutral H, C, N, O… are in the reference tables).
## 3. Calculation Workflow
### Step 1: Provide a molecule
```bash # SMILES input (most common) --smiles "CCO"
# Or from a structure file --structure molecule.sdf ```
### Step 2: Run BDE calculation
**Homolytic only** (default, no charge/spin needed): ```bash # Env: mace-agent python .agents/skills/chem-bond-dissociation/scripts/calculate_bde.py \ --smiles CCO \ --all_bonds \ --cleavage homolytic \ --model_type mace \ --model_name MACE-OFF23-small \ --output_dir research/my_folder/bde_results ```
**Both homolytic and heterolytic** (MACE-OMOL): ```bash # Env: mace-agent python .agents/skills/chem-bond-dissociation/scripts/calculate_bde.py \ --smiles CCO \ --all_bonds \ --cleavage both \ --model_type mace \ --model_name MACE-OMOL-extra-large \ --output_dir research/my_folder/bde_results_both ```
**Both homolytic and heterolytic** (FairChem UMA omol): ```bash # Env: fairchem-agent python .agents/skills/chem-bond-dissociation/scripts/calculate_bde.py \ --smiles CCO \ --all_bonds \ --cleavage both \ --model_type fairchem \ --model_name uma-s-1p1 \ --task_name omol \ --output_dir research/my_folder/bde_results_both ```
**Heterolytic only** with FairChem UMA: ```bash # Env: fairchem-agent python .agents/skills/chem-bond-dissociation/scripts/calculate_bde.py \ --smiles CCO \ --all_bonds \ --cleavage heterolytic \ --model_type fairchem \ --model_name uma-s-1p1 \ --task_name omol \ --output_dir research/my_folder/bde_hetero ```
### Key Parameters
| Argument | Default | Description | |:---|:---|:---| | `--smiles` | — | SMILES string of the molecule | | `--structure` | — | Path to structure file (`.sdf`, `.mol2`) | | `--bond` | — | Specific bond as atom indices `"i-j"` (0-indexed) | | `--all_bonds` | `True` | Compute BDE for all single bonds | | `--include_h_bonds` | `False` | Include X–H bonds | | `--cleavage` | `homolytic` | `homolytic`, `heterolytic`, or `both` | | `--model_type` | `mace` | MLIP backend (`mace`, `fairchem`) | | `--model_name` | auto | Model checkpoint (default: `MACE-OFF23-small` for homolytic; `uma-s-1p1` for hetero/both) | | `--task_name` | — | Task head for multi-task models (e.g. `omol` for FairChem UMA) | | `--fmax` | `0.01` | Force convergence for relaxation (eV/Å) | | `--output_dir` | required | Output directory |
## 4. Output Files
- **`bde_results.json`** — Full results including: - `metadata`: model name, cleavage mode, `supports_charge_spin`, SMILES, etc. - `intact_energy_eV`: Energy of the relaxed intact molecule - `bonds`: List of per-bond results: - `bde_eV`, `bde_kJ_mol`, `bde_kcal_mol`: Homolytic BDE (if computed) - `heterolytic_bde_eV`, `heterolytic_bde_kJ_mol`, `heterolytic_bde_kcal_mol`: Best heterolytic BDE (if computed) - `heterolytic_best_variant`: Which polarity won (`"frag1+ / frag2-"` or `"frag1- / frag2+"`) - `heterolytic_variants`: Raw results for both polarity variants - `weakest_bond_homolytic`, `weakest_bond_heterolytic`: Summary of weakest bonds - `bonds_ranked_by_homolytic_bde`, `bonds_ranked_by_heterolytic_bde`: Sorted tables
- **`intact_relaxed.xyz`**: Relaxed intact molecule - **`frag_bond{N}_homo_{1,2}.xyz`**: Homolytic radical fragments - **`frag_bond{N}_hetero_pos_neg_{1,2}.xyz`**: Heterolytic cation/anion fragments (variant A) - **`frag_bond{N}_hetero_neg_pos_{1,2}.xyz`**: Heterolytic anion/cation fragments (variant B)
## 5. Examples
| Example | Model | Cleavage | Notes | |:---|:---|:---|:---| | [`examples/ethanol_mace_off23_small/`](examples/ethanol_mace_off23_small/) | MACE-OFF23-small | `homolytic` | Standard homolytic BDE for ethanol; includes H bonds | | [`examples/methanol_mace_omol_both/`](examples/methanol_mace_omol_both/) | MACE-OMOL-extra-large | `both` | Homo + heterolytic for methanol; C–O hetero = 90 vs homo = 143 kcal/mol | | [`examples/methanol_uma_omol_both/`](examples/methanol_uma_omol_both/) | FairChem UMA omol | `both` | Homo + heterolytic for methanol; C–O hetero = 157 vs homo = 126 kcal/mol |
### Ethanol — Homolytic BDE (MACE-OFF23)
```bash # Env: mace-agent python .agents/skills/chem-bond-dissociation/scripts/calculate_bde.py \ --smiles CCO \ --all_bonds \ --include_h_bonds \ --cleavage homolytic \ --model_type mace \ --model_name MACE-OFF23-small \ --output_dir .agents/skills/chem-bond-dissociation/examples/ethanol_mace_off23_small ```
### Methanol — Both Homo and Heterolytic BDE (FairChem UMA omol)
```bash # Env: fairchem-agent python .agents/skills/chem-bond-dissociation/scripts/calculate_bde.py \ --smiles CO \ --all_bonds \ --include_h_bonds \ --cleavage both \ --model_type fairchem \ --model_name uma-s-1p1 \ --task_name omol \ --output_dir .agents/skills/chem-bond-dissociation/examples/methanol_uma_omol_both ```
Experimental BDEs for ethanol (Blanksby & Ellison, 2003): | Bond | Experimental BDE (kcal/mol) | |:---|:---| | O–H | ~104 | | C–H (methyl) | ~101 | | C–H (methylene) | ~95 | | C–C | ~85 | | C–O | ~92 |
## 6. Constraints
- **Radical spin states**: For homolytic BDE, MLIPs are generally "electron-agnostic" and treat fragments as neutral regardless of spin state. BDE **ranking** is typically more reliable than absolute values. - **Ionic states**: Heterolytic BDE requires a charge/spin-aware model (`supports_charge_spin=True`). Validated: **MACE-OMOL**, **MACE-MH** (omol head), and **FairChem UMA omol**. These models use `atoms.info["charge"]` and `atoms.info["spin"]` to condition on the ionic state. Models without this flag raise an error for `--cleavage heterolytic`. - **Ring bonds**: Breaking bonds in rings produces a single open-chain diradical. The script will warn and skip ring bonds. - **Accuracy**: Expect ~2–5 kcal/mol error for homolytic BDEs with MACE-OFF23. Heterolytic accuracy is less benchmarked with current MLIPs. - **Environments**: - `mace-agent` for MACE models - `fairchem-agent` for FairChem/UMA models
## References
- Blanksby & Ellison, "Bond Dissociation Energies of Organic Molecules", *Acc. Chem. Res.* **2003**, 36, 255. - St. John et al., "Prediction of organic homolytic bond dissociation enthalpies at near chemical accuracy with sub-second computational cost", *Nat. Commun.* **2020**, 11, 2328. (ALFABET) - Zubatyuk et al., "A Transferable MACE Potential for Open- and Closed-Shell Drug-Like Molecules", *J. Chem. Theory Comput.* **2024**.
---
**Author:** Bowen Deng **Contact:** [GitHub @learningmatter-mit](https://github.com/learningmatter-mit)
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Scenario-led draft for chem-bond-dissociation, ready for a manual X post.
chem-bond-dissociation: Calculate homolytic and heterolytic bond dissociation energies (BDEs) for all single bonds in... 161 stars https://www.openagentskill.com/skills/learningmatter-mit-chem-bond-dissociation?ref=x
Listing + install path for chem-bond-dissociation: https://www.openagentskill.com/skills/learningmatter-mit-chem-bond-dissociation?ref=x Install: npx skills add learningmatter-mit/AtomisticSkills --skill chem-bond-dissociation
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Do not auto-install
chem-solution-md
Set up and run molecular dynamics simulations of molecules in explicit solvent boxes using Packmol for box construction and MLIPs for dynamics.
161 Starschem-conformer-search
Generate molecular conformers with RDKit ETKDG, relax with MLIPs, and rank by energy with Boltzmann weighting.
161 Starschem-dft-orca-optimization
Run DFT geometry optimization (minimization or TS search) on a molecular structure using ORCA via SCINE/ReaDuct wrapper.
161 Starschem-irc-verification
Verify non-periodic molecular TS connectivity with forward/reverse IRC using endpoint connectivity and RMSD checks.
161 StarsPermission surface
secrets or environment access, shell or command execution
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
secrets or environment access, shell or command execution
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
secrets or environment access, shell or command execution
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
secrets or environment access, shell or command execution
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness