Researchers at Chungnam National University have developed an AI-based method to rapidly predict stable patterns of topological defects in nematic liquid crystals, significantly reducing the time needed for such predictions from hours to milliseconds. This breakthrough not only enhances our understanding of complex systems but also opens up new possibilities for designing advanced materials with tailored defect structures for various technological applications.
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