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1. cWGAN-GP_Inverse_Design_Disordered_Waveguide_NanophotonicscWGAN-GP_Inverse_Design_Disordered_Waveguide_NanophotonicsPublic

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

   Python 13 4

2. Machine-learning-for-ultrafast-laser-characterization-FROGMachine-learning-for-ultrafast-laser-characterization-FROGPublic

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

   Python 2

3. TFstack-MARL-platform-designing-thin-filmsTFstack-MARL-platform-designing-thin-filmsPublic

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

   Python 2

4. TFstack_II_Second_Generation_Thin_Film_Auto_DesignerTFstack_II_Second_Generation_Thin_Film_Auto_DesignerPublic

   This is 2nd-G thin film auto designer, including all the feature in TFstackv1 but lighter and faster

5. Generative-Adversarial-Network-Under-Reinforcement-learningGenerative-Adversarial-Network-Under-Reinforcement-learningPublic

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

   Python 2

6. FieldSeer_I_miniFieldSeer_I_miniPublic

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