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1. cWGAN-GP_Inverse_Design_Disordered_Waveguide_Nanophotonics cWGAN-GP_Inverse_Design_Disordered_Waveguide_Nanophotonics Public

   This code is for of inverse design and forward prediction of disordered waveguide. Full codes updated

   Python 11 4

2. TFstack-MARL-platform-designing-thin-films TFstack-MARL-platform-designing-thin-films Public

   TFstack is an MARL software-wise system which is aiming for inverse design, optimization that covering basically all thin films problems

   Python 2

3. Machine-learning-for-ultrafast-laser-characterization-FROG Machine-learning-for-ultrafast-laser-characterization-FROG Public

   This is the collobration project for ultrafast laser response prediction bewteen Heriot-Watt University and Univeristy of St Andrews

   Python

4. Generative-Adversarial-Network-Under-Reinforcement-learning Generative-Adversarial-Network-Under-Reinforcement-learning Public

   RL guides generator with physics informed, this is the newest extended version of disordered waveguide inverse design

   Python 2

5. Nanophotonics_design_command_interactive_chatbot Nanophotonics_design_command_interactive_chatbot Public

   Offline command interactivity of inverse design of nanophotonics, metasurface, metamaterial, etc. Also, combine with Physics papers keyword extraction and Summarization.

6. FieldSeer_I FieldSeer_I Public

   Physics-guided World Models for Predicting Full Electromagnetic Dynamics from Partial Observations