Hikers on the Konza Prairie may look up this summer and see something unusual in the air. K-State researchers are employing aerial data in their mission to understand and manage the rapid spread of woody plants across the ...
There may be a new artificial intelligence-driven tool to turbocharge scientific discovery: virtual labs.
The findings are important because methane is over 25 times more powerful than carbon dioxide as a greenhouse gas. Arctic lakes are already major natural methane sources globally, but the processes that control how methane ...
Wetlands are among the most efficient ecosystems for carbon sequestration, storing more than 30% of global soil carbon in only 3%–13% of Earth's land surface. However, the spatiotemporal patterns of wetland carbon uptake ...
Scientists often seek new materials derived from polymers. Rather than starting a polymer search from scratch, they save time and money by blending existing polymers to achieve desired properties.
A frog croaks from a walking trail. A hiker snaps a photo and uploads it to iNaturalist. That single act—one person, one amphibian and one click—feeds into a growing global dataset that scientists now use to map shifting ...
A new artificial intelligence model can improve the process of drug and vaccine discovery by predicting how efficiently specific mRNA sequences will produce proteins, both generally and in various cell types.
City life is often described as "fast-paced." A new study suggests that's more true than ever.
Northwestern University and University of California, Los Angeles (UCLA) scientists have developed a new process-based framework that provides a more accurate and dynamic approach to landslide prediction over large areas.
One of the shared, fundamental goals of most chemistry researchers is the need to predict a molecule's properties, such as its boiling or melting point. Once researchers can pinpoint that prediction, they're able to move ...
