PNNL offers six distinct pathways for deploying place-based renewable energy infrastructure at scale.

PNNL internships in science, technology, engineering, and math (STEM) provide students with valuable opportunities for STEM careers.

New research simulates power demand, supply, and cost in a hotter, drier climate.

PNNL scientists have proposed an "adaptive site management" cleanup strategy for the Hanford Site's Central Plateau that incorporates a structured, flexible approach to environmental remediation.

Protein ribbons direct and facilitate the formation of a calcium-based mineral that forms tooth enamel.

The Co-Optimization of Fuels & Engines initiative recently outlined six years of research in a findings and impact report.

A new perspective article discusses how integrating carbon dioxide capture and conversion in solvents can lead to cheaper and more efficient carbon management systems.

Researchers at PNNL are developing a better model of the soil, better representing the atmosphere, and identifying sources of record high rainfall within a model of the Earth system.

Tuning the environment and platinum-group metal allows researchers to control which bonds the catalyst breaks using hydrogen.

New report takes a comprehensive look at offshore aquaculture as a market for marine energy.

A climate change study co-authored by PNNL scientist Hailong Wang inspired an artist to create an exhibit based on the research.

Scientists from PNNL and the U.S. Department of Agriculture-Forest Services’ Pacific Northwest Research Station have partnered to evaluate potential climate and wildfire adaptation scenarios and resulting benefits from restoration forestry.

PNNL scientists developed new capabilities to study materials under extreme conditions.

PNNL contributes to 30 years of data on clouds, radiation, and other climate-making factors as part of field campaigns and analysis conducted by DOE's Atmospheric Radiation Measurement user facility.

Researchers use machine learning to speed up the analysis of aerosol datasets from mass spectrometry.