A gathering of international experts in Portland, Oregon, explored the future of electron microscopy and surfaced potential solutions in areas including new instrument designs, high-speed detectors, and data analytics capabilities.
Trouble on the electric grid might start with something relatively small: a downed power line, or a lightning strike at a substation. What happens next?
Pacific Northwest National Laboratory is leading efforts to address next-generation computing’s critical role in protecting the nation from cybersecurity threats.
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.
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 used novel methods to safely create and analyze plutonium samples. The approaches could prove influential in future studies of the radioactive material, benefitting research in legacy, national security and nuclear fuels.
Scientists are exploring the use of deep neural network to interpret highly technical data related to national security, the environment and the cosmos.
Vitrifying nuclear waste for storage is complicated by aluminum and understanding this behavior is vital. Research suggests that upon radiolysis, the properties of humid aluminum particles do not change substantially but hydrogen is formed.
While some of us may periodically ponder the universe, most of us don't dedicate our lives to studying its mysteries, including its birth, evolution and fate.
