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chemistry-tools

Computational chemistry tools including molecular structure, chemical reactions, thermodynamics, spectroscopy analysis, and cheminformatics. Use when user works with chemical formulas, molecular structures, reaction balancing, thermodynamic calculations, or chemical databases (PubChem, ChemSpider). Triggers on "chemical structure", "molecular weight", "balance equation", "reaction", "thermodynamics", "spectroscopy", "SMILES", "PubChem", "chemical formula", "stoichiometry".

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Quellinformationen

Repository
beita6969/ScienceClaw
Letzte Quellaktivität
12. März 2026 um 04:53
Erkannte Sprache von SKILL.md
Englisch
Sterne
904
Forks
104

Installationsoptionen

Standardmäßig ist der Prompt ausgewählt, der zuerst die Quelle prüft. Sie können zu einem direkten Befehl wechseln oder eine lokale Kopie herunterladen.

Quelldateien prüfen

Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.

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SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
chemistry-tools
description
Computational chemistry tools including molecular structure, chemical reactions, thermodynamics, spectroscopy analysis, and cheminformatics. Use when user works with chemical formulas, molecular structures, reaction balancing, thermodynamic calculations, or chemical databases (PubChem, ChemSpider). Triggers on "chemical structure", "molecular weight", "balance equation", "reaction", "thermodynamics", "spectroscopy", "SMILES", "PubChem", "chemical formula", "stoichiometry".
# Chemistry Tools Computational chemistry and cheminformatics. Venv: `source /Users/zhangmingda/clawd/.venv/bin/activate` ## Molecular Properties ```python # Using RDKit if available, otherwise manual calculations from sympy import symbols, Eq, solve # Molecular weight calculation (manual) ATOMIC_WEIGHTS = { 'H': 1.008, 'He': 4.003, 'Li': 6.941, 'Be': 9.012, 'B': 10.81, 'C': 12.011, 'N': 14.007, 'O': 15.999, 'F': 18.998, 'Ne': 20.180, 'Na': 22.990, 'Mg': 24.305, 'Al': 26.982, 'Si': 28.086, 'P': 30.974, 'S': 32.065, 'Cl': 35.453, 'Ar': 39.948, 'K': 39.098, 'Ca': 40.078, 'Fe': 55.845, 'Cu': 63.546, 'Zn': 65.38, 'Br': 79.904, 'Ag': 107.868, 'I': 126.904, 'Au': 196.967, } import re def molecular_weight(formula): """Calculate MW from chemical formula like 'C6H12O6'""" elements = re.findall(r'([A-Z][a-z]?)(\d*)', formula) mw = sum(ATOMIC_WEIGHTS.get(el, 0) * (int(n) if n else 1) for el, n in elements) return mw # Example print(f"Glucose (C6H12O6): {molecular_weight('C6H12O6'):.3f} g/mol") ``` ## Chemical Equation Balancing ```python from sympy import Matrix, lcm def balance_equation(reactants_elements, products_elements): """ Balance using linear algebra (null space method). Each compound is a dict of {element: count}. """ all_elements = set() for compound in reactants_elements + products_elements: all_elements.update(compound.keys()) all_elements = sorted(all_elements) n_compounds = len(reactants_elements) + len(products_elements) matrix = [] for el in all_elements: row = [] for comp in reactants_elements: row.append(comp.get(el, 0)) for comp in products_elements: row.append(-comp.get(el, 0)) matrix.append(row) M = Matrix(matrix) null = M.nullspace() if null: coeffs = null[0] # Make integer coefficients denom = lcm(*[c.q for c in coeffs if hasattr(c, 'q')] or [1]) coeffs = [int(c * denom) for c in coeffs] return coeffs return None ``` ## Thermodynamics ```python import numpy as np # Ideal gas law: PV = nRT R = 8.314 # J/(mol·K) def ideal_gas(P=None, V=None, n=None, T=None): """Solve for the missing variable. Units: Pa, m³, mol, K""" if P is None: return n * R * T / V if V is None: return n * R * T / P if n is None: return P * V / (R * T) if T is None: return P * V / (n * R) # Gibbs free energy def gibbs(dH, T, dS): """ΔG = ΔH - TΔS (kJ/mol, K, kJ/(mol·K))""" return dH - T * dS # Nernst equation def nernst(E0, n_electrons, Q, T=298.15): """E = E° - (RT/nF)ln(Q)""" F = 96485 # C/mol return E0 - (R * T / (n_electrons * F)) * np.log(Q) # Arrhenius equation def arrhenius(A, Ea, T): """k = A * exp(-Ea/RT), Ea in J/mol""" return A * np.exp(-Ea / (R * T)) ``` ## Chemical Databases ### PubChem ```bash # Search by name curl -s "https://pubchem.ncbi.nlm.nih.gov/rest/pug/compound/name/aspirin/JSON" | python3 -m json.tool # Search by SMILES curl -s "https://pubchem.ncbi.nlm.nih.gov/rest/pug/compound/smiles/CC(=O)OC1=CC=CC=C1C(=O)O/JSON" # Get properties curl -s "https://pubchem.ncbi.nlm.nih.gov/rest/pug/compound/name/caffeine/property/MolecularFormula,MolecularWeight,IUPACName/JSON" ``` ### ChEBI (Chemical Entities of Biological Interest) ```bash curl -s "https://www.ebi.ac.uk/chebi/searchId.do?chebiId=CHEBI:15377" # water ``` ## Spectroscopy Reference | Technique | What it measures | Key info | |-----------|-----------------|----------| | IR | Bond vibrations | Functional groups (cm⁻¹) | | NMR (¹H) | H environments | Chemical shift (δ ppm), splitting | | NMR (¹³C) | C environments | Chemical shift (δ ppm) | | UV-Vis | Electronic transitions | λmax, absorbance | | Mass Spec | m/z ratio | Molecular weight, fragmentation | ### Common IR Absorptions - O-H stretch: 3200-3600 cm⁻¹ (broad) - N-H stretch: 3300-3500 cm⁻¹ - C-H stretch: 2850-3000 cm⁻¹ - C=O stretch: 1650-1750 cm⁻¹ - C=C stretch: 1600-1680 cm⁻¹ - C-O stretch: 1000-1300 cm⁻¹ ## Tips - Always check units (SI vs CGS vs practical) - Use IUPAC nomenclature - For complex reactions, break into elementary steps - Verify thermodynamic data against NIST WebBook - For computational chemistry (DFT, MD), recommend specialized software (Gaussian, ORCA, GROMACS)
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