Self-Driving Chemistry Laboratory

From Chemical Insight to Intelligent Discovery

Our lab aims to accelerate discovery in chemistry and materials science by integrating AI, automation, and molecular simulation. A central focus is the development of self-driving laboratories that autonomously design, perform, and analyze experiments to efficiently explore complex chemical and materials spaces. In parallel, we develop AI methods that connect experimental observations with theoretical predictions, helping to close the longstanding gap between computational models and real-world laboratory systems. By combining data-driven learning, chemistry/physics-based modeling, and autonomous experimentation in a closed-loop framework, our research seeks to establish a new paradigm for AI-native scientific discovery and enable faster, more reliable development of advanced materials and chemical technologies.