ThermoFluidFoundation/boiling-intelligence

Boiling Intelligence

A minimal prototype of an autonomous AI physicist for phase-change mass-transfer discovery.

v0.4

The current synthetic benchmark demonstrates a closed scientific loop:

1. Maintain competing mass-transfer closures.
2. Design discriminating tests.
3. Query a hidden synthetic physical world.
4. Update evidence.
5. Detect model-class failure.
6. Infer a minimal constitutive correction.
7. Compile the correction into a new executable model.
8. Re-enter the revised model into the falsification loop.

Example discovered closure

[ M_3 = 0.8,\Delta T + 0.00196515,\Delta T^2 ]

The hidden synthetic law is used only to validate the autonomous discovery architecture.

This release does not claim discovery of a real boiling constitutive law.

Run

pip install -r requirements.txt
ollama serve
ollama pull gpt-oss:20b
python main.py

Roadmap

• Agentic scientific reasoning
• Conservative multiscale recurrent neural operators
• Basilisk phase-change simulations
• Experimental ground-truth integration
• Closed-loop physical model discovery