Ken Kingery


Process Instrumentation and Sensors October 3, 2022

Scalable surface that mimics nature developed

Duke University engineers have developed a scalable soft surface that relies on electromagnetic actuation, mechanical modeling and machine learning to form new configurations.

By Ken Kingery
Courtesy: Brett Sayles
Industrial PCs June 19, 2022

Quantum computing phase changes show tipping point

Researchers at Duke University and the University of Maryland have used the frequency of measurements on a quantum computer to get a glimpse into the quantum computing phenomena of phase changes – something analogous to water turning to steam.

By Ken Kingery
Robotics April 27, 2022

How eye imaging technology could help robots and cars see better

Researchers from Duke University are applying lessons learned from decades of perfecting eye-imaging technologies to tomorrow’s autonomous systems sensor technologies.

By Ken Kingery
Courtesy: Duke University
Power Quality January 16, 2022

Next-generation batteries propelled by sodium ion enhancements

Duke University researchers have developed insights into the atomistic dynamics of emerging solid-state batteries to speed their evolution and move beyond lithium.

By Ken Kingery
Energy, Power September 23, 2020

Atomic dynamics help turn heat into electricity

An atomic mechanism that makes some thermoelectric materials efficient near high-temperature phase transition could help unlock better options for technologies reliant on transforming heat into electricity.

By Ken Kingery
Robotics July 14, 2020

Coordinating complex behaviors among hundreds of robots

Duke University researchers have developed an approach to designing motion plans for multiple robots grows "trees" in the search space to solve complex problems in a fraction of the time.

By Ken Kingery
Vision and Discrete Sensors January 15, 2020

Machine learning shapes microwaves for a computer’s eyes

Researchers have developed a method to identify objects using microwaves that improves accuracy while reducing the associated computing time and power requirements.

By Ken Kingery
Vision and Discrete Sensors October 27, 2019

Hyperspectral cameras designed to improve agricultural practices

A Duke University researcher is working on developing a small, inexpensive hyperspectral camera to enable worldwide precision agricultural practices thanks to a recently-awarded fellowship.

By Ken Kingery
AI and Machine Learning September 29, 2019

Machine learning model finds metamaterial designs for energy harvesting

Duke University electrical engineers are using machine learning to design dielectric metamaterials that absorb and emit specific frequencies of terahertz radiation, which could create new, sustainable types of thermal energy harvesters and lighting.

By Ken Kingery
Simulators, Optimizers May 26, 2019

Guiding vibration simulations for turbines

The Duke-led GUIde Consortium develops faster, more accurate simulations of turbine blade vibrations to help aeronautical engineers develop safer jet turbines with lower maintenance costs.

By Ken Kingery
Robotics May 23, 2019

Smart robotic system developed to sniff out pollution and toxic leaks

Duke University researchers are using the physics of airflows to locate gaseous leaks more quickly in complex scenarios for processing and chemical applications. See video.

By Ken Kingery