Embedding the known physics of the system to be controlled in the AI model of the system is data efficient and provides safety guarantees.

A cadre of physical scientists, engineers and computing experts at Pacific Northwest National Laboratory is poised to participate in the launch of three new DOE Office of Science-sponsored quantum information science research centers.

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.

PNNL materials scientist Ram Devanathan named Fellow and chemist Dave Heldebrant keynotes at the American Chemical Society (ACS) Fall 2020 meeting.

A PNNL research team compared two types of pumped storage hydropower (open and closed loop) to identify potential environmental impacts.

A 2011 earthquake and tsunami in Japan that knocked out a nuclear power plant helped inspire PNNL computational scientists looking for clues of future nuclear reactor mishaps by tracking radioactive iodine.

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.

A multi-institution research team found how the protein environment surrounding some enzymes can alter the direction of a cellular reaction, as well as its rate—up to six orders of magnitude—in a phenomenon referred to as catalytic bias.

PNNL and Oklahoma State University join forces to understand the chemistry of sodium-ion and potassium-ion batteries thanks to an award from the U.S. Department of Energy's Established Program to Stimulate Competitive Research (EPSCoR).

Two PNNL researchers have been elected to Washington State Academy of Sciences. Two others PNNL scientists join the academy board of directors.

Their consistency and predictability makes tidal energy attractive, not only as a source of electricity but, potentially, as a mechanism to provide reliability and resilience to regional or local power grids.

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

Six months into a pandemic that has claimed more than 570,000 lives worldwide, scores of PNNL scientists are engaged in dozens of projects in the fight against COVID-19.

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.

Jian Liu, a chemical engineer at PNNL, was selected as co-editor for the Elsevier book, Nanoporous Materials for Molecule Separation and Conversion.

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.

PNNL data scientists Maria Glenski and Svitlana Volkova have contributed a chapter to a book titled Disinformation, Misinformation, and Fake News in Social Media: Emerging Research Challenges and Opportunities.

PNNL is managing the Data Archive and Portal, which provides the wind research community with secure, timely, easy, and open access to all data brought in from research under DOE’s Atmosphere to Electrons program.

Two PNNL team members, Courtney Corley, a data scientist, and Kyle Bingman, an advisor on assured artificial intelligence (AI), were featured on a recent episode of the U.S. Department of Energy Direct Currents podcast.