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 materials scientist Kevin Simmons is part of a collaboration that was recognized for work in hydrogen safety, codes and standards recently at the DOE Hydrogen and Fuel Cells Program annual merit review and peer evaluation.
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.
Scientists are exploring the use of deep neural network to interpret highly technical data related to national security, the environment and the cosmos.
80 years after the Hindenburg disaster, it still influences perceptions about the use of hydrogen as a vehicle fuel, but hydrogen, like gasoline, can be handled and used safely.
PNNL is collaborating with three small businesses to address technical challenges concerning hydrogen for fuel cell cars, bio-coal and nanomaterial manufacturing.