• Reinke Lab

    Our research group is interested in a wide range of materials, including the wonderful 2D materials graphene, silicene, and MoS2, the classic Si-surfaces as templates for nanostructures, and the curious, and novel nanospheres which form when fullerenes are heated on a metal surface.
  • Resilient and Advanced Infrastructure Laboratory

    Our group aims to formulate innovations in design, materials and sensing technologies to advance a new generation of infrastructure systems. Led by Professor Osman Ozbulut, RAIL focuses on applying smart technologies and interdisciplinary expertise to the development of resilient and sustainable civil infrastructure systems.
  • Robert Kelly Research Group

    Prof. Kelly's present work includes studies of the electrochemical and chemical conditions inside localized corrosion sites in various alloy systems, corrosion in aging aircraft, atomistic and continuum modeling of electrochemical processes, development of embeddable corrosion microinstruments, as well as the use of microfabrication methods to probe the fundamentals of localized corrosion.
    Capabilities
    • Accelerated salt fog corrosion testing
  • Rolls-Royce University Technology Center

    UVA Engineering is one of three Rolls-Royce University Technology Centers in the country engaged in world-class, collaborative research and technology programs in technologies that are critical to advancements in aerospace and advanced manufacturing.
  • Scully Research Group

    Professor Scully’s group is dedicated to studying all forms of corrosion and materials degradation for the defense, aerospace, energy, biological, nuclear, oil and gas industries.
  • Sheybani Lab

    The Sheybani Lab at the University of Virginia is working at the nexus of therapeutic ultrasound, advanced imaging, and tumor immunology to design and deploy precision cancer immunotherapy paradigms.
  • Virginia Image and Video Analysis

    We focus on developing principled algorithms for image and video analysis. Applied mathematics (linear algebra and probabilistic frameworks) combine seamlessly with neural network architecture design in our Lab for advancing research by solving real world problems in a wide variety of domains, including biology, healthcare, education, and defense.
  • Virginia Nano-Computing Research Group

    Led by Avik Gosh, VINO combines an understanding of fundamental physics, chemistry, material science, and device engineering to explore novel device concepts of nanoscale material structures.