3D U-Net neural network for defect prediction in nematic liquid crystals (IMAGE)

Chungnam National University Evaluation Team

3D U-Net neural network for defect prediction in nematic liquid crystals

Caption

The AI model rapidly maps boundary conditions to molecular alignment and defect locations, replacing hours of simulation and enabling fast exploration and inverse design of advanced optical materials.

Credit

"A defect pair of point defects with equal strength and opposite sign attracting and annihilating each other" by Ingo Dierking Image source link: https://openverse.org/image/d96f3a34-5645-4274-8ba2-0e2961962129?q=liquid+crystal+defect&p=8

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License

CC BY-SA

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