The intersection of evolutionary algorithms and data-driven optimisation is reshaping materials science by offering novel computational frameworks for designing and refining materials. Drawing ...
Surrogate-based optimization has emerged as a cornerstone methodology for tackling expensive engineering design problems by replacing costly high-fidelity simulations or physical experiments with ...