PNNL will lead three new grid modernization projects funded by the Department of Energy. The projects focus on scalability and usability, networked microgrids, and machine learning for a more resilient, flexible and secure power grid.

At a conference featuring the most advanced computing hardware and software, ML in its various guises was on full display and highlighted by Nathan Baker’s featured invited presentation.

Global climate change is often at the forefront of national and international discussions and controversies, yet many details of the specific contributing factors are poorly understood.

Network Collapse, a virtual reality science, technology, engineering, and mathematics (STEM) app developed by PNNL researchers, has won a Gold Award from the 2019 International Serious Play Award.

A study co-led by PNNL and reviewed in Science investigates how nanomaterials—both ancient and modern—cycle through the Earth’s air, water, and land, and calls for a better understanding of how they affect the environment and human health.

The U.S. Nuclear Regulatory Commission, U.S. Army Corps of Engineers, and PNNL partnered to complete—in record time—an environmental impact statement for the nation’s first small modular nuclear reactor, to be sited at Clinch River, Tenn.

Researchers at the Department of Energy's Pacific Northwest National Laboratory are helping to lead transformation of the nation's century-old electric grid by developing new technologies to enhance its reliability and security.

Researchers at PNNL are developing a new class of acoustically active nanomaterials designed to improve the high-resolution tracking of exploratory fluids injected into the subsurface. These could improve subsurface geophysical monitoring.

Researchers used novel methods to safely create and analyze plutonium samples. The approaches could prove influential in future studies of the radioactive material, benefitting research in legacy, national security and nuclear fuels.

Monitoring the activity within a network in real-time can allow cybersecurity staff to detect cyberattacks quickly, before thieves steal data or crash your system.