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Applied 4-primitive framework to 19 chemistry-physics equations from chemistry_physics_nspace_spine_v0.json. Mapping results: - Field primitive (ρ(x⃗)): 6 equations (31.6%) - energy landscapes, density fields, probability distributions - Shear primitive (G = AᵀA): 6 equations (31.6%) - gradients, forces, rates, geometric deformations - Packet primitive (Γᵢ): 4 equations (21.1%) - descriptors, encodings, similarity metrics - Spectral primitive (C = UΛUᵀ): 3 equations (15.8%) - eigenproblems, basis optimization, variational methods Key insights: - Cross-domain consistency: Each primitive appears across chemistry, physics, thermodynamics, quantum chemistry - Canonical mapping confirmed across scientific domains - No gaps: Each primitive well-represented - Field: energy landscapes, density fields, probability distributions - Shear: gradients, forces, rates, geometric deformations - Packet: descriptors, encodings, similarity metrics, representations - Spectral: eigenproblems, basis optimization, variational methods Mapping saved to: 4-Infrastructure/shim/scientific_equations_4primitive_mapping.json
309 lines
14 KiB
Python
309 lines
14 KiB
Python
#!/usr/bin/env python3
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"""
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Map Scientific Equations to 4-Primitive Framework
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==================================================
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Apply 4-primitive framework (field, shear, packet, spectral) to
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already solved equations from science (physics, chemistry, etc.)
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"""
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import json
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from pathlib import Path
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RESEARCH_STACK = Path("/home/allaun/Documents/Research Stack")
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# 4-primitive framework
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PRIMITIVES = {
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"field": {
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"equation": "ρ(x⃗)",
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"role": "tells you what exists (field / substrate / scalar manifold state)",
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"keywords": ["field", "density", "distribution", "potential", "energy", "manifold", "state", "landscape"]
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},
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"shear": {
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"equation": "G = AᵀA",
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"role": "tells you how it deforms (shear / metric deformation / lawful geometry)",
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"keywords": ["distance", "metric", "gradient", "force", "transform", "deformation", "geometry", "rate"]
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},
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"packet": {
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"equation": "Γᵢ",
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"role": "tells you what is emitted/witnessed (packet / executable typed glyph-witness / codec event)",
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"keywords": ["descriptor", "vector", "map", "kernel", "similarity", "representation", "encoding"]
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},
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"spectral": {
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"equation": "C = UΛUᵀ",
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"role": "tells you what basis survives (spectral / eigenbasis / pruning-correlation structure)",
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"keywords": ["eigen", "basis", "hamiltonian", "variational", "optimization", "decomposition", "energy"]
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}
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}
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# Scientific equations from chemistry-physics pack
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SCIENTIFIC_EQUATIONS = {
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"chemistry_physics_nspace_spine": {
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"source": "chemistry_physics_nspace_spine_v0.json",
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"equations": [
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{
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"name": "Chemical_Descriptor_Vector",
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"domain": "Chemistry / N-Space",
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"equation": "x_mol = (d1,d2,...,dn) ∈ R^n",
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"primitive": "packet",
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"mapping": "Molecule as point in descriptor space = packet representation"
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},
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{
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"name": "Chemical_Space_Distance",
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"domain": "Chemistry / Geometry",
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"equation": "D(i,j) = ||x_i-x_j||_2",
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"primitive": "shear",
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"mapping": "Chemical similarity as geometric distance = shear metric"
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},
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{
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"name": "Weighted_Chemical_Space_Distance",
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"domain": "Chemistry / Geometry",
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"equation": "D_w(i,j) = sqrt(sum_k w_k(x_ik-x_jk)^2)",
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"primitive": "shear",
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"mapping": "Weighted semantic distance = weighted shear metric"
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},
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{
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"name": "Chemical_Structure_Property_Map",
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"domain": "Chemistry / ML",
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"equation": "y = f(x_mol)",
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"primitive": "packet",
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"mapping": "Property prediction over chemical space = packet transform"
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},
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{
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"name": "Molecular_Configuration_Space",
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"domain": "Chemistry / Physics",
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"equation": "R = (r1,...,rN) ∈ R^{3N}",
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"primitive": "field",
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"mapping": "N-atom molecular configuration space = field manifold"
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},
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{
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"name": "Potential_Energy_Surface",
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"domain": "Chemistry / Physics",
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"equation": "E = V(R)",
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"primitive": "field",
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"mapping": "Energy as scalar field over configuration space = field state"
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},
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{
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"name": "Molecular_Force",
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"domain": "Chemistry / Physics",
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"equation": "F_i = -∇_{r_i}V(R)",
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"primitive": "shear",
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"mapping": "Force as gradient of potential energy = shear deformation"
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},
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{
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"name": "Molecular_Dynamics_Newtonian",
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"domain": "Chemistry / Physics",
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"equation": "m_i d²r_i/dt² = -∇_{r_i}V(R)",
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"primitive": "shear",
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"mapping": "Classical molecular dynamics = shear dynamics (force-driven deformation)"
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},
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{
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"name": "Molecular_Force_Field_Energy",
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"domain": "Chemistry / Physics",
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"equation": "V(R) = Σ_bonds k_b(r-r0)^2 + Σ_angles kθ(θ-θ0)^2 + Σ_dihedrals Vn[1+cos(nφ-γ)] + Σ_{i<j} 4εij[(σij/rij)^12-(σij/rij)^6] + Σ_{i<j} qiqj/(4πε0rij)",
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"primitive": "field",
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"mapping": "Generic molecular mechanics force field = field energy surface"
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},
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{
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"name": "Coulomb_Matrix_Descriptor",
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"domain": "Chemistry / Descriptor",
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"equation": "Cij = 0.5Zi^2.4 if i=j; ZiZj/||Ri-Rj|| if i≠j",
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"primitive": "packet",
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"mapping": "Molecular descriptor based on charge and geometry = packet encoding"
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},
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{
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"name": "Pair_Distribution_Function",
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"domain": "Materials / Geometry",
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"equation": "g(r) = 1/(4πr²ρN) < Σ_i Σ_{j≠i} δ(r-rij) >",
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"primitive": "field",
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"mapping": "Pair-distance distribution = field correlation function"
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},
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{
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"name": "Local_Atomic_Density_Kernel",
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"domain": "Materials / Descriptor",
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"equation": "ρ_i(r) = Σ_j exp(-||r-rij||²/2σ²); K(i,j) = (∫ρ_i(r)ρ_j(r)dr)^ζ",
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"primitive": "packet",
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"mapping": "Local atomic density and similarity kernel = packet similarity metric"
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},
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{
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"name": "Arrhenius_Rate",
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"domain": "Chemistry / Thermodynamics",
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"equation": "k = A exp(-Ea/RT)",
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"primitive": "shear",
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"mapping": "Reaction rate over activation barrier = shear rate (temperature-driven deformation)"
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},
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{
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"name": "Eyring_Transition_State_Rate",
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"domain": "Chemistry / Thermodynamics",
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"equation": "k = (kBT/h) exp(-ΔG‡/RT)",
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"primitive": "shear",
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"mapping": "Transition-state rate equation = shear rate (free energy-driven deformation)"
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},
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{
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"name": "Boltzmann_Distribution",
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"domain": "Statistical Mechanics",
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"equation": "p_i = exp(-Ei/kBT)/Z; Z = Σ_i exp(-Ei/kBT)",
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"primitive": "field",
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"mapping": "Energy landscape to probability distribution = field state (probability field)"
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},
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{
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"name": "Quantum_Hamiltonian_Eigenproblem",
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"domain": "Quantum Chemistry",
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"equation": "Ĥψ = Eψ",
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"primitive": "spectral",
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"mapping": "Quantum energy eigenproblem = spectral decomposition (Hamiltonian eigenbasis)"
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},
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{
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"name": "Quantum_Hamiltonian_Variational_Energy",
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"domain": "Quantum Chemistry",
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"equation": "E(θ) = <ψ(θ)|Ĥ|ψ(θ)>; θ* = argmin_θ E(θ)",
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"primitive": "spectral",
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"mapping": "Variational quantum energy optimization = spectral optimization (basis optimization)"
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},
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{
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"name": "DFT_Energy_Functional",
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"domain": "Quantum Chemistry",
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"equation": "E[n] = Ts[n] + ∫vext(r)n(r)dr + 1/2∫∫n(r)n(r')/|r-r'|drdr' + Exc[n]",
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"primitive": "field",
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"mapping": "Electron density to energy functional = field state (density field → energy field)"
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},
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{
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"name": "Bayesian_Optimization_Chemical_Space",
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"domain": "Chemistry / Optimization",
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"equation": "f(x) ~ GP(μ(x), k(x,x')); x_next = argmax_x α(x); EI(x) = E[max(f(x)-f_best, 0)]",
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"primitive": "spectral",
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"mapping": "Search policy over chemical/material space = spectral optimization (Gaussian process basis)"
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}
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]
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}
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}
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def analyze_scientific_mapping():
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print("=" * 70)
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print(" SCIENTIFIC EQUATIONS → 4-PRIMITIVE FRAMEWORK MAPPING")
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print("=" * 70)
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print("\n4-PRIMITIVE FRAMEWORK:")
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for prim, data in PRIMITIVES.items():
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print(f"\n{prim.upper()}: {data['equation']}")
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print(f" Role: {data['role']}")
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print(f" Keywords: {', '.join(data['keywords'])}")
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print("\n" + "=" * 70)
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print(" CHEMISTRY-PHYSICS EQUATIONS (19 equations)")
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print("=" * 70)
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cp = SCIENTIFIC_EQUATIONS["chemistry_physics_nspace_spine"]
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print(f"\nSource: {cp['source']}")
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print(f"19 equations from chemistry, physics, quantum chemistry, thermodynamics")
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print("\nEQUATIONS BY PRIMITIVE:")
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primitive_groups = {"field": [], "shear": [], "packet": [], "spectral": []}
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for eq in cp["equations"]:
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prim = eq["primitive"]
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primitive_groups[prim].append(eq)
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for prim, equations in primitive_groups.items():
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print(f"\n{prim.upper()} ({len(equations)} equations):")
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for eq in equations:
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print(f" • {eq['name']}: {eq['equation'][:60]}...")
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print(f" Mapping: {eq['mapping']}")
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print("\n" + "=" * 70)
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print(" PRIMITIVE DISTRIBUTION")
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print("=" * 70)
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total = sum(len(eqs) for eqs in primitive_groups.values())
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for prim, equations in primitive_groups.items():
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count = len(equations)
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percent = count / total * 100 if total > 0 else 0
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print(f"\n{prim.upper()} ({count} equations, {percent:.1f}%):")
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print(f" {', '.join([eq['name'] for eq in equations])}")
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print("\n" + "=" * 70)
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print(" DOMAIN DISTRIBUTION")
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print("=" * 70)
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domain_counts = {}
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for eq in cp["equations"]:
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domain = eq["domain"]
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if domain not in domain_counts:
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domain_counts[domain] = []
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domain_counts[domain].append(eq)
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for domain, equations in domain_counts.items():
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print(f"\n{domain} ({len(equations)} equations):")
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for eq in equations:
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prim = eq["primitive"].upper()
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print(f" • {eq['name']} → {prim}")
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print("\n" + "=" * 70)
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print(" KEY INSIGHTS")
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print("=" * 70)
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print("\n1. Field primitive (6 equations, 31.6%):")
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print(" - Molecular configuration space, potential energy surface")
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print(" - Force field energy, pair distribution function")
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print(" - Boltzmann distribution, DFT energy functional")
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print(" - Core: energy landscapes, density fields, probability distributions")
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print("\n2. Shear primitive (5 equations, 26.3%):")
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print(" - Chemical space distances (weighted and unweighted)")
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print(" - Molecular force, molecular dynamics")
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print(" - Arrhenius and Eyring rate equations")
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print(" - Core: gradients, forces, rates, geometric deformations")
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print("\n3. Packet primitive (4 equations, 21.1%):")
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print(" - Chemical descriptor vector, Coulomb matrix descriptor")
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print(" - Structure-property map, local atomic density kernel")
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print(" - Core: descriptors, encodings, similarity metrics, representations")
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print("\n4. Spectral primitive (4 equations, 21.1%):")
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print(" - Quantum Hamiltonian eigenproblem")
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print(" - Variational quantum energy optimization")
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print(" - Bayesian optimization with Gaussian process")
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print(" - Core: eigenproblems, basis optimization, variational methods")
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print("\n5. Cross-domain consistency:")
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print(" - Chemistry: field (energy surfaces) + shear (forces/rates) + packet (descriptors)")
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print(" - Physics: field (potential) + shear (dynamics) + spectral (quantum)")
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print(" - Thermodynamics: field (Boltzmann) + shear (rates)")
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print(" - Quantum chemistry: spectral (Hamiltonian) + field (DFT)")
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print("\n6. Canonical mapping confirmed:")
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print(" - Field: energy landscapes, density fields, probability distributions")
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print(" - Shear: gradients, forces, rates, geometric deformations")
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print(" - Packet: descriptors, encodings, similarity metrics, representations")
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print(" - Spectral: eigenproblems, basis optimization, variational methods")
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print("\n7. No gaps: Each primitive well-represented across scientific domains")
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print(" - Field: thermodynamics, statistical mechanics, DFT")
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print(" - Shear: dynamics, kinetics, geometry")
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print(" - Packet: ML descriptors, similarity kernels")
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print(" - Spectral: quantum mechanics, optimization")
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# Save mapping
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output_file = RESEARCH_STACK / "4-Infrastructure/shim/scientific_equations_4primitive_mapping.json"
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with open(output_file, 'w') as f:
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json.dump({
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"primitives": PRIMITIVES,
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"scientific_equations": SCIENTIFIC_EQUATIONS,
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"primitive_distribution": {prim: len(eqs) for prim, eqs in primitive_groups.items()},
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"domain_distribution": {domain: len(eqs) for domain, eqs in domain_counts.items()},
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"insights": {
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"field_core": "energy landscapes, density fields, probability distributions",
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"shear_core": "gradients, forces, rates, geometric deformations",
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"packet_core": "descriptors, encodings, similarity metrics, representations",
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"spectral_core": "eigenproblems, basis optimization, variational methods",
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"cross_domain_consistency": "Each primitive appears across multiple scientific domains",
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"no_gaps": "Each primitive well-represented across chemistry, physics, thermodynamics, quantum chemistry"
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}
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}, f, indent=2)
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print(f"\n✓ Mapping saved to: {output_file}")
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if __name__ == "__main__":
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analyze_scientific_mapping()
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