PNNL has deployed (10/8/20) two research buoys in waters off the West Coast for the first time in deep water, supporting a U.S. Department of Energy and Bureau of Ocean Energy Management effort to gather measurements that support offshore wind locations and technologies.
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.
PNNL scientists are using an advanced mathematical tool called hypergraphs to identify how human cells respond to viral infection, including the new coronavirus.
Amy Borde and coauthors at PNNL's Marine and Coastal Research Laboratory developed a new predictive modeling tool for estuarine-tidal river research and management. A decade in the making, the innovative framework provides a means for understanding how both natural and human forces govern hydrology and plant communities in these complex wetland ecosystems, now and into the future.
As extreme weather and other events increase in frequency and intensity, cybercriminals ramp up attacks on technologies that tie together urban infrastructure systems, networks critical to the flow of data, people, goods, and services must be made more resilient to failure, according to a team of scientists.
PNNL researchers outline how to convert stranded biomass to sustainable fuel using electrochemical reduction reactions in mini-refineries powered by renewable energy.
Data-mining software developed at PNNL is helping analysts keep tabs on developments related to COVID-19. The technology automates the process of combing through tens of thousands of articles each day to provide relevant information about active and emerging biothreats, including the current pandemic.
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, in partnership with industry, has developed a computational tool called HIPPO, which accelerates the increasingly complex calculations grid operators must make in scheduling energy resources to meet the next day's forecasted electricity demand.