Connected moments math shortcut shaves time and cost of quantum calculations while maintaining accuracy.

A new review paper led by senior research scientist Chun-Long Chen and featured on the cover of Accounts of Chemical Research summarizes advances by PNNL scientists in developing sequence-defined peptoids.

The workshop brought together 184 scientists to explore research opportunities for nuclear physics in artificial intelligence.

Despite the challenges, the talented and dedicated staff at Pacific Northwest National Laboratory kept delivering for the nation.

Beginning in 2021, PNNL chemical physicist Bruce Kay begins a three-year term as an AVS trustee, part of a six-member committee responsible for overseeing the administration of student scholarships and major society awards.

Long-term PNNL support has helped enable the continued success of the Chesapeake Large-Scale Analytics Conference.

PNNL has three small-scale spectroscopy devices that are speeding up the testing and analysis of candidate novel materials used in energy storage research and environmental remediation.

PNNL chemist Xin Zhang has rallied a multi-author team to produce a book the American Chemical Society published this fall.

PNNL and the Georgia Institute of Technology vow to collaborate more impactfully and more often in a new MOU announced October 23, 2020.

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.

PNNL-University of California, Berkeley scientist cited for ‘tireless dedication to the stewardship of catalysis.’

Pacific Northwest National Laboratory (PNNL) researchers pioneer a new tool to represent cellular response to viral infection.

PNNL recognizes researchers during National Postdoc Appreciation Week.

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

First-ever measurements provide evidence that supercooled water exists in two distinct structures that co-exist and vary in proportion dependent on temperature.

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

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.

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.

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.

Ten staff members from PNNL were invited to attend and lead the various breakout sessions at the Department of Energy Office of Science 5G Enabled Energy Innovation Workshop (5GEEIW), which was held in early March.