Ken Kingery
Ken Kingery, senior science communications specialist, Duke University
Articles
Machine learning approach used in crystalline structures for solid-state batteries
Machine learning (ML) approach opens insights into an entire class of materials being pursued for solid-state batteries by Duke University researchers.
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.
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.
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.
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.
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.
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.