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Working in RL for Optics application
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Working in RL for Optics application

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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 8 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 1

  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 1

  5. Nanophotonics_design_command_interactive_chatbot Nanophotonics_design_command_interactive_chatbot Public

    The system has been deployed in the local servicer and shared within the department. Group web QA chatbot. offline command interactivity of inverse design of nanophotonics, metasurface, metamateria…

  6. Protein2Protein-interaction-reinfrocement-learning-using-graph-network Protein2Protein-interaction-reinfrocement-learning-using-graph-network Public