Complex Structure

Complex structure research focuses on developing methods to generate, analyze, and utilize intricate structures across diverse domains, from molecules and proteins to images and autonomous driving trajectories. Current efforts involve leveraging advanced machine learning models, including large language models (LLMs) and neural networks, often incorporating novel architectures like transformers and graph representations to improve generation, prediction, and understanding of these structures. This research is significant for accelerating drug discovery, enhancing biological understanding, improving automated systems, and advancing various technological applications by enabling more efficient and accurate processing of complex data.