“ Whether we are based on carbon or on silicon makes no fundamental difference. ”
― Arthur C. Clarke
Vision and Mission
We explore the synergy between chip-based computational intelligence and the chip-free physical intelligence in nature:
- We develop computational intelligence methods, including AI/ML and optimization, to enhance physical intelligence by co-desiging materials, structure and stimulus.
- We leverage physical intelligence to embody computational intelligence, enabling materials to sense, compute, think, and learn.
We aim to create artificial systems that mimic, interact, and surpass biological agents in executing autonomous tasks within unstructured and hazardous environments. We are exploring applications that can enhance human well-being and extend human capabilities, such as such as mechanical protective cloaking, minimally invasive surgery, flexible electronics, soft robotics, and mechanical computing.
Lab Updates
📰 04/25/2025 – Dr. Wang delivered an invited talk at the Uncertainty Quantification for Material Science and Engineering workshop, hosted by the Institute for Mathematical and Statistical Innovation (IMSI) at the University of Chicago.🔗Learn more
📰 04/16/2025 – Our paper on data-driven metamaterials design was ranked among the top 10% of most-viewed papers published by Advanced Materials in 2023. 🔗Learn more
📰 03/28/2025 – Check out our preprint on arXiv about co-designing materials, structures, and stimuli of magnetic robots within minutes.🔗Learn more
📰 02/27/2025 – Dr. Wang delivered a keynote address at the NAFEMS webinar, Exploring the Status of Data-Driven Engineering: Production-Ready and Emerging Technologies.🔗Learn more
📰 10/24/2024 – Our Lab is featured in MechE News: Making magic with materials to enhance human well-being ! 🔗Learn more
📰 08/25/2024 – Dr. Wang received the inaugural Design Automation Dissertation Award from American Society of Mechanical Engineers (ASME).
📰 08/25/2024 – Dr. Wang gave an invited talk at the ASME-IDETC 2024 workshop, From Data to Design: Challenges and Opportunities across Industry and Academia, in Washington, D.C.
🌱 08/14/2024 – Computational and Physical Intelligence Lab was officially established at Carnegie Mellon University!
Join us!
We are actively recruiting PhD, masters, and undergraduate students in Mechanical Engineering at Carnegie Mellon University to join our team.