Shows enhanced cluster identification using machine learning, indicating improved application in materials science.
, demonstrating remarkable efficiency. Additionally, the evolution of relative energy and optimized structures of low-lying isomers are analyzed to illustrate the reliability of the search process. GMMLP provides a powerful tool for cluster research, enabling fast and accurate GM structure identification for a wide range of clusters, which is crucial for understanding cluster properties and their applications in chemistry, materials science, and related fields.
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Zhang et al. (2026) studied this question.
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