FerroCella: Difference between revisions
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and fluid (Navier-Stokes) solvers within the simulation/core.py MultiphysicsFerrocella class. | and fluid (Navier-Stokes) solvers within the simulation/core.py MultiphysicsFerrocella class. | ||
The CPU-based approach on local droplets has been proven non-viable; stick with the Colab GPU architecture. | The CPU-based approach on local droplets has been proven non-viable; stick with the Colab GPU architecture. | ||
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<!-- RECOMMENDED ACTION: Create a new, separate server script (e.g., `run_dashboard_server.py`). This server will act as a *client* to the main AetherOS API. It will fetch the raw data, perform aggressive contrast stretching and normalization (e.g., mapping the 1st and 99th percentiles to black and white), colorize it, and stream the resulting "pretty images" to a web dashboard using SocketIO. Consider using a library like `three.js` or `p5.js` on the frontend for more advanced rendering effects. This approach completely decouples the scientific simulation from the public-facing visualization. --> | |||
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Revision as of 20:00, 11 August 2025
FerroCella is the official designation for the standalone, high-fidelity, open-source physics simulator for the AetherOS project. Its purpose is to provide a rich, dynamic, and physically realistic external environment that AetherOS agents can perceive and interact with.
FerroCella serves as the canonical "simulated reality" for the ecosystem. It is the primary tool for testing and developing agents before they are deployed to physical hardware.
The "Ship of Theseus" Strategy
The development of FerroCella is a central part of the project's Ship of Theseus philosophy. It is designed to be a near-perfect digital "plank" that can stand in for the physical ferrocell rig.
The AetherOS Hardware Abstraction Layer can connect to FerroCella via a network API. When the physical rig is complete, the HAL can be switched to connect to the real hardware's sensors and actuators with no changes to the core AetherOS logic. This allows for a seamless transition from a simulated "body" to a physical one.
Core Physics Engines
To achieve high fidelity, FerroCella is being built using the JAX high-performance computing library. Its simulation is a synthesis of multiple interacting physics engines.
- Electromagnetism: The 3D magnetic field is calculated using the Biot-Savart Law, summing the contributions from thousands of discretized segments of the energized Kepler Control Grid.
- Fluid & Thermal Dynamics: The ferrofluid itself is modeled using a simplified Navier-Stokes fluid solver, which accounts for viscosity, pressure, and the magnetic body force. This is coupled with a heat equation that simulates thermal effects from the LED array.
- Optics: The final visual output is generated by a light transport model that simulates how light scatters through the magnetically-aligned and physically moving nanoparticles in the fluid.
Architectural Role
FerroCella operates as a standalone server, accessible via a real-time API (using Flask and WebSockets). This decouples the computationally-intensive physics simulation from the AetherOS runtime.
An AetherOS instance running in `remote_jax_sim` mode will receive a continuous stream of `SEXTET` and visual grid data from the FerroCella server. This data is used to "ground" its internal FluxCore entities, providing the chaotic, external component required for Unified Non-Determinism.
CORVUS LOG
Branch Point 2025-08-11
METADATA: Current branch is "ferrocella-phase2-setup". STATUS: The static electromagnetism engine is complete and validated on a Colab GPU. The real-time server and web dashboard have been coded and deployed. The Nginx reverse proxy on oodawiki is configured to provide a stable URL. OBJECTIVE: The immediate next step is to run the final Colab launch script. NEXT BRANCH: Upon successful launch of the live dashboard, create a new branch named "ferrocella-phase2-dynamics". The objective of that branch will be to implement the JAX-based thermal (heat equation) and fluid (Navier-Stokes) solvers within the simulation/core.py MultiphysicsFerrocella class. The CPU-based approach on local droplets has been proven non-viable; stick with the Colab GPU architecture.
| state = autocollapse | name = AetherOS Navigation | title = The AetherOS Ecosystem | group1 = Core Philosophy | list1 = | group2 = Foundational Texts | list2 = | group3 = Architectural Components | list3 = | group4 = Key Protocols & Records | list4 = |