Duke MEMS research is focused on solving some of the biggest challenges facing humanity and our planet, including clean and abundant energy, reliable autonomous technology, and biomechanical devices and biomaterials to improve human health. Aligned with these efforts, our faculty also employ advanced computational tools, such as AI, to accelerate the design of mechanical systems and the discovery of new materials.
Working at the intersection of fluid mechanics, structural mechanics and dynamics, we are investigating a diverse range of aerospace problems
We are exploring natural phenomena to inspire new biomaterials as well as engineering clinically relevant analytical and biomechanical solutions
Our faculty advance scientific computing and develop new computational approaches, including artificial intelligence, to apply to engineering challenges
Duke MEMS faculty are leaders in developing new energy materials, improving energy-related technologies and exploring underlying chemistry and physics
Duke MEMS researchers are at work on methods of robust and optimal control and automation, especially in systems that operate in challenging environments
Our faculty lead in the computational discovery of new matter and the investigation and creation of polymers, soft-wet materials and nanomaterials
In the Duke Engineering Physical AI series, Boyuan Chen considers how robots that learn from experience could adapt to situations their designers never anticipated and why they must also learn when to ask for help.
Michael Rubinstein will help lead the Duke-led research center that explores the science of polymer networks: long, repeating molecules found in a broad range of materials and products from trees to tires to plastics.
Over a decade of work from the laboratory of Stefano Curtarolo will help researchers discover new materials through Georgia Tech’s new $18.1 million Programmable Cloud Laboratory.
