An innovative artificial enzyme has shown it can chew through woody lignin, an abundant carbon-based substance that stores tremendous potential for renewable energy and materials.

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

Investigating cloud condensation nuclei activities in various airmasses enabled linking activity variations with organic oxidation levels and volatility

New study investigates how to use a non-toxic condensation particle counter for airborne atmospheric research

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

ICON science is a Department of Energy-developed framework to enhance scientific outcomes via more intentional design of research efforts across all domains of science.

The collaboration will further accelerate the science behind radioactively contaminated land management and radioactive waste disposal.

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

A global warming-induced poleward shift of the westerly jet affects the hydroclimate of the U.S. Midwest differently in the spring and summer.

A new capability facilitates source apportionment of organic aerosols in real time.

The COVID-19 pandemic massively disrupted human activities, which caused additional turmoil through regional record rainfall and floods.

PNNL Materials Scientist Leo Fifield recognized for contributions to the field of nuclear instrumentation and control.

Measuring the ice nucleation activity of particles in the ambient atmosphere can help develop better representations for use in climate models.

The Physical and Computational Sciences Directorate welcomes three joint appointees whose research focuses on topics related to materials science.

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.

Top scientists and officials from government, academia, Alaskan Native communities, and industry are heading to Alaska to focus on driving energy technologies for a more sustainable Arctic region.

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.

Jinhui Tao is chairing and organizing a crystal growth and epitaxy conference, while other PNNL staff serve as session chairs.

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