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.
PNNL’s Jie Xiao was recently recognized for her outstanding contribution to basic and applied research on lithium-ion batteries and beyond by the International Automotive Lithium Battery Association.
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.
Scientists have uncovered a root cause of the growth of needle-like structures—known as dendrites and whiskers—that plague lithium batteries, sometimes causing a short circuit, failure, or even a fire.
A new Co-Optima report describes an assessment of 400 biofuel-derived samples and identifies the top ten candidates for blending with petroleum fuel to improve boosted spark ignition engine efficiency.
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.
PNNL researchers have created a chemical cocktail that could help electric cars power their way through extreme temperatures where current lithium-ion batteries don’t operate as efficiently as needed.
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.
PNNL researchers demonstrate how the excitation of oxygen atoms that contributes to better performance of a lithium-ion battery also triggers a process that leads to damage, explaining a phenomenon that has been a mystery to scientists.
PNNL’s Dan Gaspar and John Holladay were part of the Co-Optima leadership team honored by DOE’s Vehicle Technologies Office. The award recognized groundbreaking work to synergistically improve fuels and engines to maximize fuel economy.
Yong Wang, a PNNL laboratory fellow, has received the 2019 Catalysis and Reaction Engineering Practice Award from the American Institute of Chemical Engineers.
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.
Editors of the journal Emission Control Science and Technology deemed “Coating Distribution in a Commercial SCR Filter” Best Paper in 2018. The authors include PNNL's Mark Stewart, Carl Justin Kamp, Feng Gao, Yilin Wang, and Mark Engelhard.
