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3D U-Net Neural Network for Defect Prediction in Nematic Liquid Crystals

3D U-Net Neural Network for Defect Prediction in Nematic Liquid CrystalsScientists have developed an AI system that can rapidly predict complex defect patterns in liquid crystals, cutting simulation times from hours to milliseconds. The approach could transform how advanced materials are designed and tested. Many complex structures in the physical world take shape when symmetry breaks. As a system moves from a balanced, symmetrical state […]Technology,Artificial Intelligence,Electronics,Machine Learning,Materials Science#Slashes #Defect #Simulations #Hours #Milliseconds1769885552

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