Digital twins create virtual representations of real-world systems, enabling researchers to simulate, monitor, and optimize processes in a controlled digital environment. This hub focuses on building accurate, dynamic models that mirror physical systems, allowing predictive analytics and scenario testing without the cost or risk of real-world experimentation.

The hub advances applications in engineering, medicine, and sustainability by integrating sensor data, computational models, and AI-driven insights. These tools help researchers anticipate failures, improve efficiency, and design solutions that are both innovative and practical. For example, digital twins can optimize energy systems, enhance patient care through personalized simulations, and streamline manufacturing processes.

Collaboration is central to the Digital Twins hub. It brings together experts in data science, computational modeling, and domain-specific fields to create robust, interoperable platforms. Through shared infrastructure and training, the hub empowers Penn State researchers to leverage digital twin technology for transformative impact across industries and societal challenges.