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DiffGA: Steering Frozen Diffusion Models for Materials Design via Evolutionary Search
Steering candidate generation toward user-defined objectives is central to inverse materials design, yet remains difficult when objectives are black-box, changing, or non-differentiable, as in many simulation- and experiment-derived properties. Generative models offer a solution but typically requir
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