A new approach developed by PNNL scientists improves the accuracy of patient diagnosis up to 20 percent when compared to other embedding approaches.

Through her role in the Department of Energy’s Advanced Scientific Computing Research-supported ExaLearn project, Jenna Pope is developing deep learning approaches for finding optimal water cluster structures for a variety of applications.

Two forms of magnesium material were processed into tubing using PNNL’s Shear Assisted Processing and Extrusion™ technology. Both materials were found to have quite similar and improved properties—even though they began vastly different.

Scientists at PNNL are bringing artificial intelligence into the quest to see whether computers can help humans sift through a sea of experimental data.

The U.S. Department of Energy’s Pacific Northwest National Laboratory (PNNL) is the recipient of two R&D 100 awards and one gold medal.

Postdoc Bharat Gwalani’s pioneering spirit crosses several scientific disciplines and he climbs mountains too

In today’s digital age, the rabbit hole of connected information can be not only a time sink, but downright overwhelming. Even for high-performance computers.

Twenty-four analysts from U.S. intelligence organizations met in August for a machine learning activity with PNNL researchers Nicole Nichols, Jeremiah Rounds, Lawrence Phillips, and Brian Kritzstein.

Three powerhouses in the realm of artificial intelligence have become partners in a new research center created by the U.S. Department of Energy.

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.

Superman may be known as the "Man of Steel," but scientific superheroes at the Department of Energy's Pacific Northwest National Laboratory are developing a novel approach for manufacturing metals with superior strength.

Two Chief Engineers at PNNL given Presidential Early Career Award for Scientists and Engineers

A PNNL study that evaluated the use of friction stir technology on stainless steel has shown that the steel resists erosion more than three times that of its unprocessed counterpart.

PNNL has developed a technology to manufacture rods and tubes directly from high-performance aluminum alloy powder—in just one single step.

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.

Keerti S. Kappagantula, a scientist in PNNL’s Energy Processes and Materials Division, was featured in ASM International’s Women in Engineering Series.

A new technology that offers a novel way to manufacture extrusions with unprecedented improvements in material properties recently received a U.S. patent.

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.

PNNL is advancing scientific frontiers and addressing challenges in energy, the environment and national security. So, in no particular order, here are PNNL's top 10 research accomplishments of 2018