The Center for Continuum Computing at PNNL aims to integrate cloud platforms, high-performance computing, and edge devices into a seamless ecosystem that accelerates scientific discovery.

PNNL’s Center for Cloud Computing is addressing challenges in data management and hybrid cloud solutions with industry and academic partnerships.

EZBattery Model allows energy storage researchers to more quickly and easily identify the best performing battery designs without the need for extensive physical prototyping or computationally expensive simulations.

In a recent publication in Nature Communications, a team of researchers presents a mathematical theory to address the challenge of barren plateaus in quantum machine learning.

Scientists have developed a better way to recognize denial-of-service internet attacks, improving detection by 90 percent.

PNNL researchers outline open problems in different scientific areas in the Journal of Combinatorics.

Researchers have knitted together three large databases of information to help cybersecurity experts detect and prevent attacks.

Scientists have taken a key step toward harnessing a form of AI known as deep reinforcement learning to protect computer networks.

HiSVSIM enables large-scale quantum simulations through graph partitioning.

James Ang, John Feo, and Marco Minutoli organized a high performance computing workshop at the prestigious ISC High Performance 2022 conference.

Jie Xiao, a world leader in electrochemical energy storage, has received the E.O. Lawrence Award from the Department of Energy.

New facility will accelerate energy storage innovation, increase clean energy adoption and grid resilience.

A paper published last year by scientists at Pacific Northwest National Laboratory was featured in the 2021 Editor’s Choice collection for the Cell Reports Physical Science journal.

PNNL researchers develop software that uses geographical data to build a free, open-source grid reference system to provide a precise system to locate structures.

Arun Devaraj elected vice president of an international society representing the atom probe tomography researcher community.

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.

DOE’s continued support will allow CENATE researchers to advance computing through the evaluation of novel technologies.

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

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