Global climate change is often at the forefront of national and international discussions and controversies, yet many details of the specific contributing factors are poorly understood.
Scientists at PNNL are bringing artificial intelligence into the quest to see whether computers can help humans sift through a sea of experimental data.
In today’s digital age, the rabbit hole of connected information can be not only a time sink, but downright overwhelming. Even for high-performance computers.
More than 350 people from scientific institutions, education and the private sector gathered at the PNNL campus July 30 for the IEEE Women in Engineering International Leadership Summit.
Network Collapse, a virtual reality science, technology, engineering, and mathematics (STEM) app developed by PNNL researchers, has won a Gold Award from the 2019 International Serious Play Award.
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.
PNNL researchers are developing and evaluating bat tagging and tracking tools that will help design solutions to protect the bat population from wind turbines.
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.
PNNL scientists have taken one of the most in-depth looks ever at the riot of protein activity that underlies colon cancer and have identified potential new molecular targets to try to stop the disease.
When the weather heats up, so does power demand for air conditioners and refrigerators. But what if you could cool things down by using heat itself instead of electricity?
Mama and calf humpback whales—considered a vulnerable species that might be entangled in underwater equipment—star in a new animation video that depicts the marine mammals’ scale and movements relative to floating offshore wind farms.
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 are developing a new class of acoustically active nanomaterials designed to improve the high-resolution tracking of exploratory fluids injected into the subsurface. These could improve subsurface geophysical monitoring.
