B3? E4? Remember the board game Battleship? One player suggests a set of coordinates to another, hoping to find the elusive location of an unseen vessel.That is a good place to start in assessing the search for dark matter.
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.
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 today unveiled an updated tool designed to help stakeholders assess the nation's preparedness for biological-based dangers, also known as biothreats.
A recent study pinpointed the reaction front where lithium (Li) dendrites can come into contact with cathode materials. It also detailed the Li propagation pathway and reaction steps that lead to cathode failure.
Understanding the functional traits of Arctic and alpine tundra plant communities will enable better model projections of how they transform in warmer conditions.
Scientists are exploring the use of deep neural network to interpret highly technical data related to national security, the environment and the cosmos.
Imagine a hollow tube thousands of times smaller than a human hair. Now envision filthy water flowing through an array of such tubes, each designed to capture contaminants on the inside, with clean water emerging at the other end.
