Лекция 11. Физически информированные нейронные сети в фотонике

  1. 00:16Generative NNs for Inverse Design (cVAE)
  2. 13:24Unsupervised Generative NNs
  3. 16:29DNN Challenges
  4. 21:18Emerging Solutions
  5. 23:50Выводы
  6. 25:01План лекции
  7. 27:39Motivation and Overview
  8. 30:40PINNs and Maxwell Loss Function
  9. 39:54MaxwellNet: First PINN Solver for Photonics
  10. 54:57Примеры
  11. 01:14:02Large Meta-Lens Optimization with PINNs
  12. 01:21:59WaveY-Net: Physics-Augmented CNN Surrogate
  13. 01:33:21Meta-Grating Optimization with WaveY-Net