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= 0.75). Our method also identified the best micropillar geometries that maximize freezing delay and was validated with an independent data set, showing strong predictive ability. This work emphasizes the benefit of combining physics-based models with data-driven optimization for rapid design of icephobic surfaces.
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Keshavarzi et al. (2026) studied this question.
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