The Digital Twin for Complex Engineering Systems Initiative aims to establish Carnegie Mellon University as a national leader in Physics-AI Digital Twins by building adaptive, trustworthy, and continuous-learning virtual representations of complex engineering and biomedical systems.
Mission
Create the world's leading interdisciplinary hub for Physics-AI Digital Twins, where advances in scientific machine learning, engineering science, and artificial intelligence converge to revolutionize prediction, design, and control across engineering and biomedical systems.
Vision
To pioneer the next generation of physics-AI digital twins that transform how complex engineering and biomedical systems are designed, monitored, predicted, and controlled, enabling a future of intelligent, resilient, and autonomous systems.
