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.

Five PNNL technologies were recently awarded six R&D 100 honors. The R&D 100 Awards, now in its 58th year, recognize pioneers in science and technology from industry, the federal government, and academia.

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

In a new review, PNNL researchers outline how to convert stranded biomass to sustainable fuel using electrochemical reduction reactions in mini-refineries powered by renewable energy.

PNNL Lab fellow and Earth scientist Nik Qafoku earns highest recognition from the Soil Science Society of America.

Making sure there’s enough electricity at the lowest price is a critical endeavor undertaken daily by electricity market operators. Now, there’s an approach that provides more timely and accurate information to make day-ahead decisions.

The three-year project funded by DOE’s Basic Energy Sciences program will focus on using electrochemistry to capture ambient carbon dioxide.

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.

Pacific Northwest marsh carbon stocks are twice the global average. Long-term sea-level rise impacts will likely decrease ecosystem carbon stocks.

PNNL lighting experts partnered with the city of Chicago to help identify the best street lighting technology and field validation approaches to Chicago’s outdoor lighting modernization effort.

A technology that can quickly detect explosive vapors, deadly chemicals and illicit drugs with unparalleled accuracy has been named the 2020 Innovation of the Year by GeekWire, the Seattle-based technology news company.

Ang Li and Antonino Tumeo will present hardware to balance machine learning workloads at a top computer architecture conference.

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

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

PNNL quantum algorithm theorist and developer Nathan Wiebe is applying ideas from data science and gaming hacks to quantum computing

Deepika Malhotra, an organic chemist at PNNL, will lend her expertise to help shape the content and quality of Pollutants a new, interdisciplinary, open access, journal focusing on a range of environmental science research.

PNNL study evaluated "tunable" lighting and its effects on sleep at study in a California nursing home. Tunable refers to the ability to adjust LED light output and the warmth or coolness of the light color.

The race toward the first practical quantum computer is in full stride. Scientists at PNNL are bridging the gap between today’s fastest computers and tomorrow’s even faster quantum computers.

PNNL’s Jessica Collier received awards for her speaking skills and research at the Professional Lighting Design Convention in October.