Business, industry, and government careers were a focus of the PNNL-led Mathematics Research Communities conference.

PNNL researchers developed a hybrid quantum-classical approach for coupled-cluster Green’s function theory that maintains accuracy while cutting computational costs.

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.

Carbon-neutral waste-to-fuel flow cell process generates its own energy.

PNNL chief scientist Jonathan Male has been named co-director of the joint Washington State University-PNNL Bioproducts Institute.

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

A PNNL study has shown the nation’s wastewater resource recovery facilities could generate revenue by converting sludge into biofuel—while significantly reducing disposal costs—using an in-house-developed technology.

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.

Fundamental research conducted at the $90-million research facility will help the nation meet its clean energy goals.

High-performance imaging provides a cornerstone for innovation at the Energy Sciences Center opening at PNNL.

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

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.

Using existing fish processing plants, kelp and fish waste can be converted to a diesel-like fuel to power generators or fishing boats in remote, coastal Alaska.

Researchers to design their own computer accelerators for faster analysis of large datasets.

OpenCGRA expedites the design-prototype cycle of computer architecture development.