More than 30 PNNL interns contributed to the Airport Risk Assessment Model, a web-based tool that helps airport security stakeholders prioritize resource allocations.
Using existing fish processing plants, kelp and fish waste can be converted to a diesel-like fuel to power generators or fishing boats in remote, coastal Alaska.
The Washington State Academy of Sciences consists of more than 300 elected members who are nationally recognized for their scientific and technical expertise.
Cailene Gunn discusses her work in science communication and how she communicates the Triton Initiative's research to help advance the marine energy industry.
Machine learning techniques are accelerating the development of stronger alloys for power plants, which will yield efficiency, cost, and decarbonization benefits.
Svitlana Volkova, chief scientist for decision intelligence and analytics at PNNL, was invited as a panelist at the SIAM International Conference on Data Mining
Samantha Eaves discusses the future of marine energy and her role with Triton from the Department of Energy Water Power Technologies Office perspective. Â
PNNL data scientists Svitlana Volkova and Emily Saldanha, along with former PNNL intern Pamela Bilo Thomas, will publish their research on online information spread in Nature's Scientific Reports.
Seven teams win the U.S. Department of Energy's DESIGN Contest for wave-powered systems to monitor hurricanes—part of the Ocean Observing Prize. PNNL administers the prize with National Renewable Energy Laboratory.
PNNL has published a cybersecurity guidance report for marine renewable energy devices to prepare the blue economy for harnessing ocean power from waves, tides, and currents.
PNNL highlights four researchers whose joint appointments are creating new and diverse opportunities for expanding knowledge and scientific impact across institutions.
The U.S. Department of Energy has awarded funding to PNNL for the design and construction of a hybrid research vessel and an underwater testbed to be located at PNNL-Sequim.
Michael Henry, a senior data scientist at PNNL, has accepted a joint appointment at the Texas A&M University RELLIS Center for Applied Research and Experiential Learning.