
Fanza developed a thermodynamics module for the HEPLean/PhysLean repository, focusing on ideal gas adiabatic relations. Using Lean and formal verification techniques, Fanza defined entropy for ideal gas processes and formally established the core adiabatic relationships, enabling entropy-directed modeling and verification of fundamental thermodynamic laws. The module’s modular and testable design supports accurate simulations and educational demonstrations, while clear documentation facilitates future maintenance and extension. This work improved the fidelity of ideal-gas adiabatic process modeling in PhysLean, laying a robust foundation for future features. Over the month, Fanza concentrated on feature development, with no reported bug fixes during this period.

December 2025 (HEPLean/PhysLean) monthly summary: Delivered a new thermodynamics module for ideal gas adiabatic relations, enabling entropy-directed modeling and verification of fundamental relationships. The module defines entropy for ideal gas processes and establishes the core adiabatic relationships, enabling more accurate simulations and educational demonstrations. This work is captured under commit 8e4b988f0491b2d5adeaccfba6fd0f8e581e6376 with the message 'Adiabats in the ideal gas (#823)'. Overall impact includes improved physics fidelity, reuse and extension potential, and a solid foundation for future adiabatic-process features.
December 2025 (HEPLean/PhysLean) monthly summary: Delivered a new thermodynamics module for ideal gas adiabatic relations, enabling entropy-directed modeling and verification of fundamental relationships. The module defines entropy for ideal gas processes and establishes the core adiabatic relationships, enabling more accurate simulations and educational demonstrations. This work is captured under commit 8e4b988f0491b2d5adeaccfba6fd0f8e581e6376 with the message 'Adiabats in the ideal gas (#823)'. Overall impact includes improved physics fidelity, reuse and extension potential, and a solid foundation for future adiabatic-process features.
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