Energy storage expert Ji-Guang (Jason) Zhang was honored by DOE with a Distinguished Achievement Award.

The first-ever simulation of aluminum conductivity offers a recipe for an inexpensive, lightweight alternative to copper.

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

The virus that causes COVID-19 takes over the body’s fat-processing system and boosts cellular triglycerides as it causes disease.

Arun Veeramany furthers the field of risk, reliability, and resilience in civil and mechanical engineering in his new role as an American Society of Civil Engineers-American Society of Mechanical Engineers journal editorial board member.

Three PNNL bioenergy experts have received adjunct appointments at Washington State University (WSU), working closely with the WSU-PNNL Bioproducts Institute and students.

A PNNL scientist and an Oregon State University faculty member with a PNNL joint appointment were named recipients.

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 Hydrogen Safety Panel supports a fundamental hydrogen safety credential deployed through the Center for Hydrogen Safety.

The Department of Homeland Security Science and Technology Virtual First Responder Capitol Hill Showcase highlighted PNNL work in fentanyl detection standards and database libraries.

Soil transplant experiment gives new insights into coastal forest resilience, rising seas, and increasing storms.

PNNL will demonstrate how new technologies, innovative approaches and partnering with others can lead to net-zero emissions and decarbonization of operations.

Road tripping? PNNL’s researchers driving science and technology for clean, efficient and convenient transportation.

Sue Southard's one thousand dives as a PNNL staff member leave a ripple effect on efforts to keep our ocean healthy, our economy thriving, and our waters safe.

Parallel graph neural networks identify protein-ligand 3-D structural interactions to aid in protein function prediction and drug discovery.

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

A novel ecological measurement uncovered interactions between river corridor organic matter assemblages and microbial communities, highlighting potentially important microbial taxa and molecular formula types.

PNNL scientists have developed a new mass spectrometry method for in-depth analysis of proteins in individual cells.

Researchers from the Environmental Molecular Sciences Laboratory are collecting soil cores as part of the 1000 Soils Research Pilot to develop a database of molecular-level data from belowground ecosystems.

New data analysis approach gives researchers deeper understanding of microbial ecology and evolution.