The future of the Internet of Things (IoT) envisions very large networks of spatially distributed devices cooperating to solve common tasks in both industrial and urban environments. That vision fundamentally […]
Solid state defects have emerged as a leading candidate for platforms in quantum computing, communication, and sensing. The electronic spins localized around these defects have many advantages such as room […]
Current computing systems are mainly constructed on the von Neumann architecture, where data needs to be transferred to a processing unit from memory components. The latency associated with accessing data […]
With the ever-increasing production of portable electronics, internet of things devices, electric vehicles, unmanned aerial vehicles, and other autonomous robotic systems comes an increasing demand for reliable, long-lasting, portable power […]
In this thesis, ab initio methods including density functional theory are used in concert with molecular dynamics, enhanced sampling techniques, and microkinetic modeling to study oxide materials as applied to electrochemical […]
The capability to predict high-Reynolds-number turbulent flows is essential for many natural and engineering flows such as external aerodynamics (wind turbines, aircraft wings), hydrodynamics (the hull of marine vehicles) and […]
Personalized medicine requires the identification of disease-causing agents prior to prescribing therapy. Currently, molecular detection requires shipping bio samples to centralized laboratories. The time delay between sample collection and test […]
Materials with electroprogrammable stiffness and adhesion can enhance the performance of robotic systems, including prosthetics, medical devices, wearables, exoskeletons, and grippers. However, achieving large changes in stiffness and adhesive forces […]
