Codex-Fluid-Dynamic

A multi-layer scientific prototype for hybrid fluid dynamics, ion field projection, material response modeling, and holographic visualization.

Project concept

This repository is organized into five conceptual layers:

1. Sensing Layer

   • external motion sensing and spectral calibration inputs
   • signal normalization and environmental recombination

2. Material Layer

   • mesoporous silica membrane models
   • anisotropic optical response and thermal behaviors

3. Ion Field Layer

   • confined ion-field projection and charge density modeling
   • waveform and dynamic-emission approximation

4. Simulation Layer

   • simplified Navier-Stokes-inspired flow field
   • coupled advection and diffusion model

5. Display Layer

   • holographic projection and visualization rendering
   • scene synthesis from simulation fields

Structure

• codex-fluid/ — fluid and flow modeling modules
• ion-storage/ — ion field and particle projection logic
• materials/ — material and optical response simulation
• display/ — holographic rendering and visualization
• src/codex_fluid_dynamic/ — Python package prototype for the simulation stack
• app.py — runner for the demo pipeline

Quick start

python -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
python app.py

This produces a rendered composite visualization in output/scene.png.

Current implementation status

The repository now includes:

• a basic fluid field simulation
• a simplified ion-field particle model
• a material optical response approximation
• a holographic-style visualization renderer
• a modular architecture that can be expanded into real scientific or hardware-driven models

Recommended next milestones

• integrate a true CFD solver or spectral method
• replace the simplified ion model with a more physically realistic confinement model
• connect material response to measured DSC/XRD or POM datasets
• add a browser-based live visualization dashboard
• expose simulation controls and tuning parameters through an API or UI