Pacific Northwest National Laboratory researchers used machine learning to explore the largest water clusters database, identifying—with the most accurate neural network—important information about this life-essential molecule.

Researchers at PNNL have increased the conductivity of copper wire by about five percent via a process called Shear Assisted Processing and Extrusion. General Motors tested the wire for application in vehicle motor components.

PNNL quantum computing pioneer Nathan Wiebe contributed to a Google-led quantum computing landmark study published in the journal Science.

The PNNL-developed VOLTTRON™ software platform’s advancement has benefited from a community-driven approach. The technology has been used in buildings nationwide, including most recently on a university campus.

Making sure there’s enough electricity at the lowest price is a critical endeavor undertaken daily by electricity market operators. Now, there’s an approach that provides more timely and accurate information to make day-ahead decisions.

PNNL's Analytical Chemistry Lab supported at least 50 projects last year, housing 25 instruments that perform eight different types of analyses.

PNNL chemical engineer Kenneth Rappe was recognized by the United States Council for Automotive Research LLC with a 2019 Research Partner Award.

Contributions from researchers across Pacific Northwest National Laboratory (PNNL) were recently recognized in the preliminary findings of a Secretary of Energy Advisory Board (SEAB) report.

Yong Wang, associate director of PNNL’s Institute for Integrated Catalysis, has been recognized with 2021 American Chemical Society’s E.V. Murphree Award in Industrial and Engineering Chemistry.

Nuclear materials and chemical engineering researchers receive WSU’s Voiland College of Engineering and Architecture 2020 faculty awards.

A new PNNL report says the western U.S. power system can handle large-scale vehicle electrification up to 24 million vehicles through 2028, but more than that and cities could start feeling the squeeze.

Ang Li and Antonino Tumeo will present hardware to balance machine learning workloads at a top computer architecture conference.

PNNL data scientist Carlos M. Ortiz Marrero has co-edited a volume that highlights work at the intersection of quantum computation and mathematics.

Researchers at PNNL have developed a software tool that helps universities, small business, and corporate developers to design better batteries with new materials that hold more energy.

Darrell Herling and two national laboratory collaborators were recently recognized by DOE for their leadership in the Powertrain Materials Core Program.

PNNL’s Karthikeyan Ramasamy was elected to a three-year term as a director in the American Institute of Chemical Engineers’ Fuels and Petrochemicals Division.

PNNL and WSU researchers have improved the performance and life cycle of sodium-ion battery technology to narrow the gap with some lithium-ion batteries.

To help spur economic development and assist in the battle against COVID-19, PNNL is making available its entire portfolio of patented technologies on a research trial basis—at no cost—through the end of 2020.

A technology developed by researchers at the U.S. Department of Energy’s Pacific Northwest National Laboratory could pave the way for increased fuel economy and lower greenhouse gas emissions as part of an octane on demand fuel-delivery.

PNNL quantum algorithm theorist and developer Nathan Wiebe is applying ideas from data science and gaming hacks to quantum computing