PNNL deployed two research buoys in waters off the West Coast for the first time in deep water, supporting a DOE and Bureau of Ocean Energy Management effort to gather measurements that support offshore wind locations and technologies.

Marine biologist Lenaig Hemery leads Triton Field Trials research studying how marine energy systems can lead to changes in habitats.

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

PNNL has earned “Best Paper” at an international resilience conference for research on hydropower’s capabilities and constraints in the event of extreme events, like hurricanes and rolling blackouts.

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 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.

Culminating 10 years of study, researchers at PNNL’s Marine and Coastal Research Laboratory developed a new predictive framework for estuarine–tidal river research and management.

PNNL scientists are learning how to harness wind to secure a brighter, cleaner energy future.

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.

Dive officer John Vavrinec helps the Triton Initiative conduct underwater research to improve environmental monitoring around marine energy systems.

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.

PNNL ocean engineer Alicia Gorton was invited to serve on the advisory board of the Department of Civil, Environmental, and Ocean Engineering at the Stevens Institute of Technology.

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 biologists have developed a more efficient way to estimate salmon survival through dams that uses solid science but saves over 42 percent of the cost.

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.

Four researchers from PNNL were recently honored for contributing to two U.S. Department of Energy Office of Energy Efficiency and Renewable Energy initiatives that support the blue economy and building-grid integration.

A PNNL research team compared two types of pumped storage hydropower (open and closed loop) to identify potential environmental impacts.

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.

Ecological modeler Kate Buenau discusses how the Triton Initiative can use modeling to predict potential environmental effects of marine energy systems.

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