mat-phase-field-conservative

You can simulate spinodal decomposition by running the provided FiPy-based solver script to evolve a conserved concentration field via the Cahn-Hilliard equation in 2D. This generates classic bicontinuous worm-like morphologies for validation studies.

Yes, FiPy supports running parameter sweeps for phase-field morphology visualization by adjusting grid, spacing, and time-step controls in the solver script. Results are saved as .gif animations or .png images for immediate qualitative assessment.

Conservative phase separation tracks a conserved concentration field over time to model phase separation physics in binary alloys. You need this approach when studying spinodal decomposition and coarsening phenomena where total material concentration must remain constant.

Yes, you need the phasefield-agent conda environment to run the Cahn-Hilliard 2D phase-field simulation script. This environment provides the required FiPy solver along with numpy, matplotlib, imageio, and tqdm dependencies.

Yes, the Cahn-Hilliard solver supports grid, spacing, and time-step controls for 2D phase-field simulations. This allows you to produce reproducible benchmark morphologies suitable for validation-style runs and qualitative comparisons.

Incorrect grid spacing or time-step controls in the Cahn-Hilliard solver can prevent the conserved concentration field from evolving into the expected bicontinuous worm-like morphology. Verify your parameter sweep settings and ensure the phasefield-agent conda environment is active.