Dendritic structures that emerge during the growth of thin films are a major obstacle in large-area fabrication, a key step towards commercialization. However, current methods of studying dendrites involve crude visual inspection and subjective analysis. Moreover, growth optimization methods for controlling dendrite formation require extensive trial and error. Now, researchers have developed a new AI model that incorporates topology analysis and free energy to reveal the specific conditions and mechanisms that drive dendrite branching.
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