Focused research studies of advanced algorithms and materials are setting the stage for the next generation of quantum computers.

Quantum simulators help navigate noise on GPU-based HPC systems.

PNNL Chief Scientist for Computing Jim Ang will be part of a DOE Office of Science virtual discussion regarding industry collaborations on AI hardware.

Four research staff from PNNL are part of an international team that earned top honors for a journal paper focused on a new algorithm-evaluation approach for buildings.

PNNL catalysis expert Yong Wang has assumed an associate editor role for the Chemical Engineering Journal.

Fifteen female materials scientists and engineers have collaborated on a perspective of electrochemistry in battery design.

A multi-institution team of researchers has developed a palladium-based catalyst that could clean emissions from natural gas engines.

PNNL’s Jie Xiao and Yuyan Shao are serving two-year terms on the executive committee of the Pacific Northwest section of The Electrochemical Society, which was chartered in October 2020.

The Battery500 Consortium, led by PNNL, has been awarded $75 million for advancing battery technologies over the next five years.

PNNL researchers received the “Best Paper Award” at the 39th IEEE International Conference on Computer Design.

PNNL is rock solid on carbon storage, building on successful demonstration in eastern Washington.

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

PNNL researchers contributed to the International Conference on Data Science and Advanced Analytics 2021 Best Paper Award-winning publication.

Developed at PNNL, Shear Assisted Processing and Extrusion, or ShAPE™, uses significantly less energy and can deliver components like wire, tubes and bars 10 times faster than conventional extrusion, with no sacrifice in quality.

Tumeo joins other computer scientists in a contributed article on graph processing systems to the Communications of the ACM.

An energy-efficient method to extrude metal components wins Association of Washington Business Green Manufacturing Award. PNNL’s Shear Assisted Processing and Extrusion™ technology consumes less energy and enhances material properties.

One effort toward better batteries for electric vehicles is hitting overdrive, thanks to new findings about the desirable silicon anode.

Rotational Hammer Riveting, developed by PNNL, joins dissimilar materials quickly without preheating rivets. The friction-based riveting enables use of lightweight magnesium rivets and also works on aluminum and speeds manufacturing.

PNNL computer scientist Ang Li serves as one of the principal investigators for a project selected to receive DOE funding.

Slaven Peles, PNNL computational scientist and leader of a national high-performance computing project for power grid analysis, spoke about the project with the host of the Let’s Talk Exascale podcast.