tooluniverse-inorganic-physical-chemistry
This Claude Code skill provides computational tools and reasoning strategies for inorganic chemistry, physical chemistry, and materials science problems. Use it for calculating unit cell volumes across crystal systems, verifying crystal density, analyzing coordination geometry and bonding covalency, determining molecular point groups and symmetry elements, and estimating materials properties like the nephelauxetic effect in metal-ligand complexes.
git clone --depth 1 https://github.com/mims-harvard/ToolUniverse /tmp/tooluniverse-inorganic-physical-chemistry && cp -r /tmp/tooluniverse-inorganic-physical-chemistry/plugin/skills/tooluniverse-inorganic-physical-chemistry ~/.claude/skills/tooluniverse-inorganic-physical-chemistrySKILL.md
# Inorganic & Physical Chemistry ## Reasoning Strategy ### 1. Crystal Structure Questions **When given crystal structure data**, always COMPUTE don't guess: 1. **Calculate unit cell volume** for the crystal system: - Cubic: V = a^3 - Tetragonal: V = a^2 * c - Orthorhombic: V = a * b * c - Monoclinic: V = a * b * c * sin(beta) - Triclinic: V = a*b*c * sqrt(1 - cos^2(alpha) - cos^2(beta) - cos^2(gamma) + 2*cos(alpha)*cos(beta)*cos(gamma)) - Hexagonal: V = a^2 * c * sqrt(3)/2 2. **Verify density**: d = (Z * M) / (V * Na * 1e-24) where V in ų, M in g/mol, Na = 6.022e23 3. **Preferred**: Use `CrystalStructure_validate` tool (via MCP/SDK). **Fallback**: `python3 skills/tooluniverse-organic-chemistry/scripts/crystal_validator.py --a X --b Y --c Z --alpha A --beta B --gamma G --Z N --MW M --density D` 4. **For batch comparison** (find the wrong dataset): Save datasets as JSON array and use `--datasets path/to/datasets.json` ### 2. Bonding & Covalency Questions **Key reasoning patterns**: - **Covalency** = orbital mixing between metal and ligand. Greater overlap = more covalent. - **Lanthanide/actinide**: 4f orbitals of Ce(IV) typically show ENHANCED covalent mixing vs Ce(III) — more contracted 4f in higher oxidation states increases overlap with ligand orbitals - **But**: Enhanced covalency does NOT always mean stronger bonds — it depends on the specific orbital interactions - **d-block vs f-block**: d-orbitals have more radial extension → stronger covalent bonds than f-orbitals - **Nephelauxetic effect**: Reduced electron-electron repulsion in complexes → indicates covalency. Larger effect = more covalent. ### 3. Noble Gas Chemistry - **Xe compounds**: XeF2 (linear), XeF4 (square planar), XeF6 (distorted octahedral) - **XeF4 synthesis**: Requires Xe + F2 at elevated temperature (400°C) and pressure. Can also form at lower temperatures with specific methods (UV photolysis, electric discharge) - **Key**: Temperature thresholds matter for synthesis efficiency. LOOK UP DON'T GUESS — search literature for specific synthesis conditions. ### 4. Symmetry & Point Groups 1. Identify the molecular shape 2. Find symmetry elements: C_n axes, mirror planes (σ_h, σ_v, σ_d), inversion center (i), improper rotation (S_n) 3. Use `python3 skills/tooluniverse-organic-chemistry/scripts/chemistry_facts.py point_groups` for point group lookup 4. **Optical activity**: Requires absence of improper rotation axes (S_n, including σ = S_1 and i = S_2). Chiral point groups: C_1, C_n, D_n, T, O, I 5. **Crystal classes with optical activity**: Piezoelectric non-centrosymmetric classes that lack mirror planes and inversion ### 5. Thermodynamics & Kinetics **COMPUTE DON'T ESTIMATE** — write Python code for: - Gibbs free energy: ΔG = ΔH - TΔS - Equilibrium constant: K = exp(-ΔG/RT) - Arrhenius equation: k = A * exp(-Ea/RT) - Nernst equation: E = E° - (RT/nF) * ln(Q) - Clausius-Clapeyron: ln(P2/P1) = -ΔH_vap/R * (1/T2 - 1/T1) ### 6. Solubility & Equilibrium Calculations **Preferred**: Use `EquilibriumSolver_calculate` tool (via MCP/SDK) with `type`, `ksp`, `stoich`, and other parameters. Fallback: run `equilibrium_solver.py` directly. ```bash # Simple Ksp: MaXb(s) <-> aM + bX python3 skills/tooluniverse-inorganic-physical-chemistry/scripts/equilibrium_solver.py \ --type ksp_simple --ksp 5.3e-27 --stoich 1:3 # Ksp + complex formation (e.g., Al(OH)3 in water with Al(OH)4- complex) python3 skills/tooluniverse-inorganic-physical-chemistry/scripts/equilibrium_solver.py \ --type ksp_kf --ksp 5.3e-27 --kf 1.1e33 --stoich 1:3 # Common ion effect (e.g., AgCl in 0.1M NaCl) python3 skills/tooluniverse-inorganic-physical-chemistry/scripts/equilibrium_solver.py \ --type common_ion --ksp 1.77e-10 --stoich 1:1 --common-ion 0.1 ``` **Key points**: - `ksp_kf` mode solves the full charge-balance system numerically (Newton's method) — accounts for free cation, complex anion, and OH-/H+ simultaneously - For `MX_b + X- <-> MX_(b+1)-`, K_overall = Ksp * Kf - `common_ion` mode uses bisection to solve the exact Ksp expression with extra ion concentration - Always specify `--stoich a:b` matching the salt formula (e.g., 1:3 for Al(OH)3, 1:2 for CaF2, 1:1 for AgCl) ### 7. Spectroscopy Interpretation - **UV-Vis**: d-d transitions (weak, Laporte forbidden), LMCT/MLCT (strong), π→π* (organic) - **IR**: Functional group region (4000-1500 cm⁻¹), fingerprint (1500-400 cm⁻¹) - **NMR**: Chemical shift indicates electronic environment. For counting peaks, identify symmetry-equivalent protons. - **For peak counting**: Draw the structure, identify all symmetry operations, group equivalent H atoms. Use `python3 skills/tooluniverse-organic-chemistry/scripts/chemistry_facts.py` for reference data. ## Available Tools | Tool | Use For | |------|---------| | `PubChem_get_CID_by_compound_name` | Get compound CID from name | | `PubChem_get_compound_properties_by_CID` | Detailed compound data by CID | | `ChEMBL_search_molecules` | Bioactive compounds | | `PubMed_search_articles` | Literature on synthesis conditions, properties | | `CrystalStructure_validate` tool (or `crystal_validator.py` fallback) | Verify crystal structure data consistency | | `EquilibriumSolver_calculate` tool (or `equilibrium_solver.py` fallback) | Ksp, complex formation, common-ion solubility | ## LOOK UP DON'T GUESS - Noble gas compound synthesis conditions vary by method — search literature before answering - Crystal structure parameters must be computed, not estimated - Bonding descriptions (covalent vs ionic) require specific orbital considerations — don't generalize from one system to another
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