Materials modelling, simulation and data integrates multiscale simulations (DFT, MD, phase‑field, FEM) with data‑driven methods to predict structure–property relationships. High‑throughput computations, machine learning models and uncertainty quantification accelerate materials design and the interpretation of experimental data within a reproducible digital framework.
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