CODE2 Lab

Research

Research directions

CODE2 Lab develops modeling, simulation, optimization, data-driven methods, and design automation tools for tightly coupled engineering systems, including materials and structures, structures and manufacturing processes, products and processes, and other integrated design problems.

Three connected research directions spanning autonomous exploration, generative co-design, and reliable design
Our research connects exploration, translation, and validation in a continuous design cycle.
01

Autonomous design and discovery

Adaptive AI agents coordinate simulation, experiments, and scientific knowledge in closed-loop discovery workflows.

Explore this direction 02

Generative co-design

Physics-aware generative methods jointly design materials, structures, and feasible pathways from concept to realization.

Explore this direction 03

Uncertainty-aware reliable design

Probabilistic learning and robust optimization quantify uncertainty and guide trustworthy engineering decisions.

Explore this direction