Improving nitrogen uptake in corn plants
Grant and Award Announcement
Updates every hour. Last Updated: 16-Jun-2026 04:16 ET (16-Jun-2026 08:16 GMT/UTC)
A project led by University of Tennessee Institute of Agriculture researchers will help reduce the use of synthetic nitrogen fertilizer by designing corn plants that better use nitrogen already in the soil.
Scott Lenaghan, associate professor of food science, and Neal Stewart, professor of plant sciences, secured $2.5 million in funding from the U.S. Department of Energy Advanced Research Projects Agency-Energy (ARPA-E). Their project, “SyN-Fix: Synthetic Biology to Improve Nitrogen Cycling in the Maize Rhizosphere,” is one of nine awarded to develop technologies that reduce synthetic nitrogen fertilizer use in corn and sorghum farming, which are key crops for U.S. ethanol production.
Researchers have demonstrated the ability to use van der Waals forces to tune the physical and electronic properties of ferroelectric thin films. The work opens the door to new techniques for engineering materials for use in smaller, more energy efficient electronic devices.
In a study published in Science, researchers used silver nanoparticles to assemble a theorized, but never-before observed crystal metallic structure.
Supported by a $1 million award from the U.S. Department of Energy, Worcester PoIytechnic Institute (WPI) researchers are developing a new lithium-ion battery upcycling process designed to convert battery waste into higher-performance materials for next-generation electric vehicles. The project aims to simplify the recycling of mixed battery waste streams while lowering costs, reducing energy use, and helping recover critical materials needed for U.S. battery manufacturing.
Megalibrary platform rapidly discovers promising new materials. Platform marks a shift from trial-and-error materials discovery toward intentional design. Team used the system to identify a new piezoelectric material and then deliberately engineered it to operate at a target temperature. Megalibraries outperform emerging ‘self-driving labs’ in terms of speed and throughput to create and screen vast numbers of materials samples simultaneously.