Ken Kingery

latest from Ken Kingery

Process Instrumentation and Sensors

Scalable surface that mimics nature developed

Courtesy: Brett Sayles

Quantum computing phase changes show tipping point

How eye imaging technology could help robots and cars see better

Courtesy: Duke University

Next-generation batteries propelled by sodium ion enhancements

Cold neutrons uncover atomic dynamics that give thermoelectric materials low-heat conductivity. Shown is the evolution of atomic lattice oscillation waves upon heating the tin sulfide crystal, as measured with neutron scattering. Courtesy: Duke University

Atomic dynamics help turn heat into electricity

As a control algorithm moves robots through a space, each state the robots can be in is represented by a spot on the 3D graph. As the algorithm explores new options, it finds failures and potential next moves. This graph represents all of the wrong moves explored (blue) and the one route that is correct (red). Courtesy: Duke University

Coordinating complex behaviors among hundreds of robots

Vision and Discrete Sensors

Machine learning shapes microwaves for a computer’s eyes

A new type of lightweight, inexpensive hyperspectral camera could enable precision agriculture. This graphic shows how different pixels can be tuned to specific frequencies of light that indicate the various needs of a crop field. Courtesy: Maiken Mikkelsen and Jon Stewart, Duke University

Vision and Discrete Sensors

Hyperspectral cameras designed to improve agricultural practices

Duke University researchers chose arbitrary frequency responses for their machine learning system to find metamaterials to create (circles). The resulting solutions (blue) fit well with both the desired frequency responses and those simulated by commercial software (grey). Courtesy: Duke University

AI and Machine Learning

Machine learning model finds metamaterial designs for energy harvesting

For a standard turbine fan such as the diagram shows here, a typical simulation would only include sections S1, R2 and S2. New research from the GUIde 6 Consortium is now showing that including R3 is important to the accuracy of the simulations. Courtesy: Shreyas Hegde/Duke University

Simulators, Optimizers

Guiding vibration simulations for turbines

This ethanol-sniffing robot uses complex models of its surrounding airflow to find sources of leaks more efficiently than other systems that simply "follow their nose." Courtesy: Reza Khodayi-mehr, Duke University

Smart robotic system developed to sniff out pollution and toxic leaks