Researchers at PNNL are applying deep learning techniques to learn more about neutrinos, part of a worldwide network of researchers trying to understand one of the universe’s most elusive particles.
Three PNNL fish researchers recently published a video journal article on how to properly implant miniature acoustic tags in juvenile Pacific lamprey and American eel and how the tags could benefit migration.
Researchers have come up with a new method for creating synthetic “colored” nanodiamonds, a step on the path to realization of quantum computing, which promises to solve problems far beyond the abilities of current supercomputers.
A new paper found that hydropower turbines with composite blades generate about 20 percent more power than turbines with traditional stainless steel blades at the same flow rate.
Scientists created a fast-track tutorial that equips a neural network to tackle drug discovery and other applications where there's a shortage of precisely labeled chemical data.
Researchers at PNNL used key metrics to develop visualizations that show how the combined effects of climate change on hydropower and load influence the frequency, duration, and severity of power shortfalls.
Scientists are exploring the use of deep neural network to interpret highly technical data related to national security, the environment and the cosmos.
