IDREAM researchers assess the potential of photon-in/photon-out XFEL techniques to explore early time reaction steps and ultimately improve nuclear waste processing strategies.

Reimagining the United States power grid could save consumers $50 billion a year.

Artificial intelligence-based decision tool enables grid operators to respond more quickly and effectively to grid emergencies.

Brent VanDevender is an experimental nuclear physicist and the program manager for nuclear physics research at PNNL.

The Washington State Academy of Sciences consists of more than 300 elected members who are nationally recognized for their scientific and technical expertise.

Grid Forward, an industry association dedicated to promoting and accelerating innovation in the regional electric system, honored PNNL's Carl Imhoff with the 2021 Grid Innovator Award.

PNNL has released the first version of ExaGO, an open-source grid modeling software that can take advantage of emerging heterogeneous computing architecture to help grid operators plan ahead for extreme events.

Ultra-trace radiation detection technique sets new global standard for measuring the nearly immeasurable.

In recognition of Nuclear Science Week on Oct. 19-23, Pacific Northwest National Laboratory reflects on more than half a century of advancing nuclear science for the nation’s energy, environment, and security frontiers.

PNNL recognizes researchers during National Postdoc Appreciation Week.

Radiation from natural sources in the environment can limit the performance of superconducting quantum bits, known as qubits. The discovery has implications for quantum computing and for the search for dark matter.

Quantum computing experts gather in the Pacific Northwest to discuss challenges and progress.

A trio of researchers from PNNL were recognized for their efforts to develop and administer DOE’s Grid Optimization Competition.

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.

Scientists detect phenomenon in lab that occurs during neutron star formation and supernovae explosions.