Arcadianlee
Postdoctoral Researcher working on AI and machine learning for scientific discovery
University of Illinois at Urbana-ChampaignUSA
Pinned Repositories
Arcadianlee.github.io
Personal website for Ricky Li
Autonomous-OPV
AI-driven Autonomous Discovery of Organic Photovoltaics
cite
Implementation for our paper "Conditional Image-Text Embedding Networks"
CvT-Design-Photonics
Applying latest development in vision transformers (ViT, CvT...) to the design of nanophotonic structures
Deep-Learning-Design-Photonic-Crystals
Modeling and designing Photonic Crystal Nanocavities via Deep Learning
Folder-Structure-Conventions
Folder / directory structure options and naming conventions for software projects
gym-soccer
LLM-for-Photonics
Leveraging LLMs to design and optimize nanophotonics
Photonics-FDTD-DRL
Optimization and inverse design of photonic crystals using deep reinforcement learning
ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
Arcadianlee's Repositories
Arcadianlee/Photonics-FDTD-DRL
Optimization and inverse design of photonic crystals using deep reinforcement learning
Arcadianlee/Deep-Learning-Design-Photonic-Crystals
Modeling and designing Photonic Crystal Nanocavities via Deep Learning
Arcadianlee/LLM-for-Photonics
Leveraging LLMs to design and optimize nanophotonics
Arcadianlee/CvT-Design-Photonics
Applying latest development in vision transformers (ViT, CvT...) to the design of nanophotonic structures
Arcadianlee/Arcadianlee.github.io
Personal website for Ricky Li
Arcadianlee/Autonomous-OPV
AI-driven Autonomous Discovery of Organic Photovoltaics
Arcadianlee/cite
Implementation for our paper "Conditional Image-Text Embedding Networks"
Arcadianlee/Folder-Structure-Conventions
Folder / directory structure options and naming conventions for software projects
Arcadianlee/gym-soccer
Arcadianlee/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.