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Skillstooluniverse-inorganic-physical-chemistry

tooluniverse-inorganic-physical-chemistry

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Updated 10-16 01:16

About this skill

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 = abc * 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

  5. When you need REAL experimental crystal data (not user-supplied numbers to validate), use the Crystallography Open Database (COD) tools — see below. CrystalStructure_validate checks internal consistency of numbers you already have; COD looks up actual deposited structures.

Looking up real crystal structures (COD)

COD_search_structures and COD_get_structure query the Crystallography Open Database (500,000+ experimentally determined structures — inorganic, organic, mineral, and metal-organic). Use when a compound/mineral name, chemical formula, elements, or space group is named and you need real unit-cell parameters, space group, and publication details rather than computing from given numbers.

COD_search_structures({"el1":"Cu","el2":"O","nel":"2","sgNumber":"225","results":5})   # binary Cu-O compounds, FCC space group
COD_search_structures({"mineral":"calcite","results":5})
COD_search_structures({"text":"aspirin","results":5})   # free-text also matches organic/pharmaceutical crystals, not just inorganic
COD_get_structure({"id":"1011240"})   # full detail (a,b,c,alpha,beta,gamma,vol,Z,sg,sgNumber,doi,...) for one COD entry

Verified live: COD_search_structures({"el1":"Si","el2":"O","nel":"2","results":10}) returns real SiO2 polymorph entries (e.g. COD ID 1000007, a=9.7397, b=8.9174, c=5.2503 Å); COD_get_structure({"id":"1515581"}) returns real aspirin crystal data (P 1 21/c 1, sgNumber 14, cell volume 825.44 ų, temperature 123 K). Workflow: search first (by formula/elements/mineral/text) to find candidate COD IDs, then COD_get_structure on a specific ID for the full record including DOI/journal/authors. query/text and spacegroup/sg and max_results/results are alias pairs — use either name.

Gotcha: some search combinations legitimately return zero results (verified live) — an empty data: [] with count: 0 means no matching structures in COD, not a broken query; try relaxing filters (drop sgNumber, widen nel) before concluding the compound isn't in COD.

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.

# 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
COD_search_structures / COD_get_structure Look up real deposited crystal structures (unit cell, space group, DOI) from the Crystallography Open Database

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