A PNNL engineering team has designed personal protective equipment in support of COVID-19 aid.

Infusing data science and artificial intelligence into electron microscopy could advance energy storage, quantum information science, and materials design.

Tracking down nefarious users is just one example of work at PNNL’s Center for Advanced Technology Evaluation, a computing proving ground supported by DOE’s Advanced Scientific Computing Research program.

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.

Researchers at PNNL have increased the conductivity of copper wire by about five percent via a process called Shear Assisted Processing and Extrusion. General Motors tested the wire for application in vehicle motor components.

PNNL researchers used machine learning to develop a tool for a nonprofit to identify orthopedic implants in X-ray images to improve surgical speed and accuracy.

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.

The PNNL-developed VOLTTRON™ software platform’s advancement has benefited from a community-driven approach. The technology has been used in buildings nationwide, including most recently on a university campus.

PNNL's Analytical Chemistry Lab supported at least 50 projects last year, housing 25 instruments that perform eight different types of analyses.

PNNL scientists have created a tool called WatchOwl to collect more than 4 million tweets per day related to the COVID-19 pandemic. The tool analyzes tweets related to interventions like social distancing and movement restrictions.

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 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.

PNNL atomic-scale research shows how certain metal oxide catalysts behave during alkanol dehydration, an important class of oxygen-removal reactions for biomass conversion.

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.

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

PNNL and the U.S. Forest Service used a combination of data, models, analytical techniques and software to evaluate forest restoration impacts on the environment, while also assessing the economics of resulting biomass.

Artificial intelligence helps researchers identify metabolites, the small molecules that underlie life.

A chemical engineer by day at PNNL, Dan Howe is an ardent home brewer by night. The connection resulted in production of biocrude oil from brewery waste.

PNNL researchers and professional staff led discussions ranging from biothreats and climate change to science careers at the 2020 annual meeting of the American Association for the Advancement of Science, held this year in Seattle.