Risk analysis on the plutonium-fueled power system that supplies electricity to the Mars rover answered the “what if” nuclear safety questions for NASA.

PNNL researchers are using explainable artificial intelligence to develop new ways to understand and interpret data for national security.

With quantum chemistry, researchers led by PNNL computational scientist Simone Raugei are discovering how enzymes such as nitrogenase serve as natural catalysts that efficiently break apart molecular bonds to control energy and matter.

PNNL's Brenda Wiesner creates one-of-a-kind artwork using peeling paint and rusty scraps from decommissioned RPM shells.

Explainable artificial intelligence—understanding and explaining the reasoning behind AI decisions—is a necessity for national security.

Using the connected moments mathematical technique decreases the time and computational power needed for performing quantum computing simulations.

New 140,000-square-foot facility will advance fundamental chemistry and materials science for higher-performing, cost-effective catalysts and batteries, and other energy efficiency technologies.

Explainable AI helps scientists understand and untangle the threads of information that the system uses to make choices or recommendations.

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

A recent edition of the Infrastructure Resilience Research Group Journal featured an article written by PNNL researchers Rob Siefken and Jake Burns about “Design Basis Threat and the Low Threat Environment.”

Connected moments math shortcut shaves time and cost of quantum calculations while maintaining accuracy.

As a physicist at PNNL, Jon Burnett’s work is about developing instruments to detect ultra-trace radionuclide signatures, analyze samples from around the world to look for evidence of nuclear explosions, and then interpret that information.

Special issue highlights PNNL contributions to NWChem and CP2K, two prominent software packages for computational chemistry.

Despite the challenges, the talented and dedicated staff at Pacific Northwest National Laboratory kept delivering for the nation.

PNNL and Microsoft Quantum partner to link quantum circuits to powerful government supercomputers.

Pacific Northwest National Laboratory researchers developed a graphical processing unit (GPU)-centered quantum computer simulator that can be 10 times faster than any other quantum computer simulator.

Infusing data science and artificial intelligence into electron microscopy could advance energy storage, quantum information science, and materials design.

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.

A cadre of physical scientists, engineers and computing experts at Pacific Northwest National Laboratory is poised to participate in the launch of three new DOE Office of Science-sponsored quantum information science research centers.

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