Ricky Renjie Li

Photonics-FDTD-DRL. Optimization and inverse design of photonic chips using deep reinforcement learning

LLM-4-Chip. LLM4Chip-R1: End-to-End Design and Generation of Semiconductor Chips with LLMs Boosted by Reward-Driven Reinforcement Learning

Deep-Learning-Design-Photonic-Crystals. Modeling and designing Photonic Crystal Nanocavities via Deep Learning

CvT-Design-Photonics. Applying latest development in vision transformers (ViT, CvT...) to the design of nanophotonic structures

Bayesian-Opt-Photonics. Bayesian Optimization for Photonics Inverse Design

QuantumChem-200K. QuantumChem-200K: A Large-Scale Open Organic Molecular Dataset for Quantum-Chemistry Property Screening and Language Model Benchmarking