AXIS Lab is launched
A new research group for industrial AI, intelligent manufacturing, and AI-assisted materials and process design.
AXIS Lab develops reliable and practical AI for chemical processes, materials development, and manufacturing systems. We connect AI with engineering knowledge to predict, design, optimize, and automate real-world systems.
A new research group for industrial AI, intelligent manufacturing, and AI-assisted materials and process design.
Prospective M.S./Ph.D. students, undergraduate interns, and postdoctoral researchers are welcome to contact us.
AI models and decision-support systems built from noisy, sparse, real-world industrial data.
Learn more → 02Reduced-order models, digital twins, monitoring, optimization, and control for manufacturing systems.
Learn more → 03Property prediction, interpretable molecular representations, and inverse design for catalysts, solvents, absorbents, and composites.
Learn more → 04Data-driven optimization for chemical and manufacturing systems.
Learn more →Our work is shaped by practical problems from chemical plants, materials development, battery, and manufacturing systems. The goal is not only an accurate model, but a model that can be understood, robust, and reliable.
Chemical Enigeering Journal
Engineering Applications of Artificial Intelligence
ACS Sustainable Chemistry & Engineering
We welcome people who want to apply AI to meaningful chemical engineering and manufacturing problems.