Power/Performance Bits: Oct. 1


Nighttime power Researchers at UCLA and Stanford University created a low-cost device that harnesses radiative cooling to provide a small amount of renewable energy at night. While the device only provides a small amount of power, it could be useful for areas without reliable electricity or access to batteries. Radiative cooling happens when a surface that faces the sky emits heat as therma... » read more

Power/Performance Bits: Nov. 13


ML identifies LED material Researchers at the University of Houston created a machine learning algorithm that can predict a material's properties to help find better host material candidates for LED lighting. One recommendation was synthesized and tested. The technique, a support vector machine regression model, was efficient enough to run on a personal computer. It scanned a list of 118,28... » read more