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I used the ODIL framework for PDE inverse problems, reproducing benchmarks before extending it to the Cahn–Hilliard equation. Using FiPy-generated data, I successfully estimated the Flory–Huggins interaction parameter (χ), leveraging discrete loss optimization for efficient parameter estimation.