Researchers apply numerical simulations to understand more about a sturdy material and how its basic structure responds to and resists radiation. The outcomes could help guide development of the resilient materials of the future.

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.

Scientists are exploring the use of deep neural network to interpret highly technical data related to national security, the environment and the cosmos.

PNNL scientists served as lead guest editors for a special issue of the Journal of Applied Radiation and Isotopes.

Once cooled, this molten glass can trap radioactive waste for thousands of years.

Northwest researchers designing software for new DARPA-funded graphical processor in development.

April 26 marks the 31st anniversary of the explosion at the Chernobyl Nuclear Power Plant's Unit 4 reactor. Battelle researchers at PNNL were involved in an international consortium to look at long-term safety and containment of Unit 4. T

At the center of many research teams are women — scientists and engineers who chase mystery and replace it with discoveries.