Operations specialist, Sue Southard helps the Triton Initiative conduct marine energy field research safely.

Explainable AI helps scientists understand and untangle the threads of information that the system uses to make choices or recommendations.

PNNL data scientists Henry Kvinge and Ted Fujimoto presented their research on few-shot learning and reinforcement learning, respectively, at workshops during the 2021 AAAI Conference on Artificial Intelligence.

New approach allows nonexperts to optimize control of a building's energy systems without adding computing power or proprietary software.

PNNL researchers simulated residential battery use and found in-home energy storage can benefit both the power grid and homeowners.

PNNL seismologist Hunter Knox has been named general chairperson of the Geothermal Rising Conference.

Project manager Alicia Amerson brings the Triton Initiative’s research on environmental monitoring for marine energy applications to life.

The partnership to apply artificial intelligence to improve complex systems is part of a U.S. Department of Energy Office of Science $4.2 million, three-year grant.

PNNL scientists joined international leaders in artificial intelligence research to discuss the latest advances, opportunities, and challenges for neural information processing—the foundation for AI.

Red teaming for CPS, the process of challenging systems, involves a group of cybersecurity experts to emulate end-to-end cyberattacks following a set of realistic tactics, techniques, and procedures.

Data Scientist Sam Chatterjee to chair security and defense specialty group of the Society for Risk Analysis.

Marine scientist Joe Haxel leads Triton Field Trials research studying methods to monitor underwater noise associated with marine energy systems.

The Marine and Coastal Research Laboratory (MCRL), part of PNNL, in Sequim, Washington, is the U.S. Department of Energy’s only marine research facility. It has a rich history and expanding research scope.

The workshop brought together 184 scientists to explore research opportunities for nuclear physics in artificial intelligence.

PNNL has published a report that sets the foundation for modeling gaps and technical challenges in optimizing hydropower operations for both energy production and water management.

Washington and Oregon coastlines hold most promising areas to pull power from West Coast waves, according to a recent study on wave energy.

PNNL computational biologists, structural biologists, and analytical chemists are using their expertise to safely accelerate the design step of the COVID-19 drug discovery process.

California and other areas of the U.S. Southwest may see less future winter precipitation than previously projected by climate models, according to new research that corrects for a long-standing model error: the double-ITCZ bias.

A special issue of the Marine Technology Society Journal, titled “Utilizing Offshore Resources for Renewable Energy Development,” focuses on research and development efforts including those at Pacific Northwest National Laboratory (PNNL).

A research team from Pacific Northwest National Laboratory developed an apparatus that evaluates the performance of high-temperature fluids in hydraulic fracturing for enhanced geothermal systems.