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Advances in theoretical and computational condensed matter physics have opened the possibility to predict and design magnetic materials for specific technological applications. In this paper, we use the adaptive-genetic algorithm technique for exploring the low-energy crystal structure configurations of Co0.25Fe0.5P0.25, aiming to find new low-energy non-cubic phases with high saturation magnetization that might be interesting for high-performance permanent magnet development.

Exploring the Crystal Structure Space of CoFe2P by Using Adaptive Genetic Algorithm Methods

Exploring the Crystal Structure Space of CoFe₂P by Using Adaptive Genetic Algorithm Methods