Advances bring us closer to new ‘light-squeezing’ technologies
Peer-Reviewed Publication
Updates every hour. Last Updated: 26-Jun-2025 09:10 ET (26-Jun-2025 13:10 GMT/UTC)
Researchers have improved upon techniques that use thin films to compress infrared light, demonstrating three advantages that make the films more useful for practical applications. The researchers have proven that the “squeezed” infrared light can propagate at least four times further than previously shown; that the technology can “squeeze” a wider range of infrared wavelengths than previously demonstrated; and that the thin films can be integrated onto a variety of substrate materials and shapes.
Two Case Western Reserve University engineering faculty have been awarded U.S. National Science Foundation (NSF) Faculty Early Career Development Program (CAREER) grants. Computer scientist An Wang and environmental engineer Bridget Hegarty were each awarded a five-year grant to support their research programs. Hegarty also received a $1 million grant from the Department of Housing and Urban Development.
Microorganisms in the water surrounding coral reefs provide valuable insights on the health state of reefs and surrounding ocean.
Sampling and analyzing reef water microbes can be done in a variety of ways ranging in cost and complexity, adding to their usability.
As many coral reefs experience prolonged bleaching due to heat stress, rising temperatures due to climate change, and other anthropogenic activities, having more accessible monitoring tools can improve coral conservation efforts.
The authors believe that microbe diagnostic techniques can be easily adopted by established organizations to bolster reef monitoring programs and add to a global database of knowledge about coral reef habitats that can inform policy decisions.
New York University scientists are using artificial intelligence to determine which genes collectively govern nitrogen use efficiency in plants such as corn, with the goal of helping farmers improve their crop yields and minimize the cost of nitrogen fertilizers.
A new University at Buffalo-led study outlines how artificial intelligence-powered handwriting analysis may serve as an early detection tool for dyslexia and dysgraphia among young children.
Traditional methods of assessing damage after a disaster can take weeks or even months, delaying emergency response, insurance claims and long-term rebuilding efforts. New research from Texas A&M University might change that. Led by Dr. Maria Koliou, associate professor and Zachry Career Development Professor II in the Zachry Department of Civil and Environmental Engineering at Texas A&M, researchers have developed a new method that combines remote sensing, deep learning and restoration models to speed up building damage assessments and predict recovery times after a tornado. Once post-event images are available, the model can produce damage assessments and recovery forecasts in less than an hour.