PNNL data scientists Ján Drgoňa and Draguna Vrabie are working to reduce deployment costs of advanced energy control systems for buildings.

Researchers developed a new tool that combines artificial intelligence and microscopy data to rapidly test new materials for fusion reactor use.

PNNL and Microsoft Quantum partner to link quantum circuits to powerful government supercomputers.

Pacific Northwest National Laboratory researchers developed a graphical processing unit (GPU)-centered quantum computer simulator that can be 10 times faster than any other quantum computer simulator.

Researchers at PNNL have developed a bacteria testing system called OmniScreen that combines biological and synthetic chemistry with machine learning to hunt down pathogens before they strike.

PNNL’s new Smart Power Grid Simulator, or Smart-PGSim, combines high-performance computing and artificial intelligence to optimize power grid simulations without sacrificing accuracy.

Ocean engineer Molly Grear leads Triton Field Trials research studying methods to detect electromagnetic fields associated with marine energy devices.

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.

The Ocean Observing Prize is a competitive incentive program to help inventors advance new concepts for marine energy technologies that can power ocean observing systems, particularly those that inform us about hurricane formation.

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.

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

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.

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.

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.