Prompt 14 — Thermodynamics and statistical physics intelligence builder

Inputs

TARGET_PARTITION: {{TARGET_PARTITION}}
SOURCE_PROBLEMS_EXPERIMENTS_OR_DATA: {{SOURCE_PROBLEMS_EXPERIMENTS_OR_DATA}}
SYSTEM_AND_ENSEMBLE_METADATA: {{SYSTEM_AND_ENSEMBLE_METADATA_JSON}}
QUANTITY_REGISTRY: {{QUANTITY_REGISTRY_JSON}}
VERIFICATION_RECEIPTS: {{VERIFICATION_RECEIPTS_JSON}}

Task

Build objects for equilibrium thermodynamics, heat transfer, kinetic theory, statistical ensembles, phase behavior, fluctuations, and nonequilibrium models as supported by the source.

• define system boundary, environment, constraints, exchanged quantities, and state variables;
• distinguish path functions from state functions and process descriptions from equilibrium states;
• declare isolated, closed, open, microcanonical, canonical, grand-canonical, or other ensemble assumptions;
• preserve sign conventions for work, heat, flux, and entropy production;
• record equations of state, constitutive laws, response functions, stability criteria, and coexistence conditions;
• separate microscopic model assumptions from macroscopic identities;
• state thermodynamic-limit, dilute-gas, local-equilibrium, linear-response, or continuum approximations;
• include fluctuation, finite-size, and sampling uncertainty;
• verify dimensions, derivative consistency, positivity/stability, limiting cases, energy balance, and probability normalization;
• distinguish empirical temperature scales and calibration from abstract temperature parameters.

For clean-room worlds, expose mixing, expansion, compression, heat-flow, and fluctuation observations without canonical law names.

Return a physics-library-batch object.