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

PNNL streamlines environmental review process for advanced reactors, saving years and millions of dollars toward deployments of new nuclear power projects.

As the COVID-19 pandemic continues, PNNL is offering support to its neighbors in the Mid-Columbia region and across Washington State.

PNNL researchers discover a new route to mesocrystal formation.

PNNL formulated a new type of dual-ion cell chemistry that uses a zinc anode and a natural graphite cathode in an aqueous—or “water-in-bisalt”—electrolyte.

PNNL physicist Jan Strube is defining experimental requirements to track high-energy particles at the proposed International Linear Collider.

PNNL-developed Water Balance Tool estimates consumption for major water end-uses. Understanding the breakout of water use identifies water efficiency opportunities and allows facility managers to spot potential system losses.

Genetic and integrated multi-omic details of glioblastoma could one day inform new therapies.

New Distinguished Graduate Research Program will provide opportunities for North Carolina State University doctoral students to tackle real-world data science challenges alongside PNNL scientists.

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.

The Federal Laboratory Consortium for Technology Transfer has given three national awards to PNNL technology teams.

PNNL created an assessment method and maturity model that helps manufacturers building products for the power grid implement consistent cybersecurity best practices throughout their development lifecycle.

Ultra-trace radiation detection technique sets new global standard for measuring the nearly immeasurable.

A research effort under the PNNL-led Battery500 Consortium solved a longtime debate surrounding a structure in lithium-metal battery anodes.

Methane emissions from coal mines are likely higher than previously calculated, largely due to emissions from abandoned mines.

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.

Buildings account for around 40 percent of our nation's energy use and consume 75 percent of our nation’s electricity each year. Energy use is also one of the biggest costs for facility owners.

E-cigarette exposure stresses and inflames the lungs of rats, compromising important quality control proteins, according to new research.

A panel of five judges from the Bay Area and Silicon Valley investment community chose the PNNL innovation from 10 product pitches, all from different national laboratories.