Research into practical systems for chemical energy storage will be a focus at the Energy Sciences Center.

The most polluted U.S. communities from five years ago are still the most polluted today, 50 years after passage of the Clean Air Act amendments of 1970.

The Washington State Academy of Sciences consists of more than 300 elected members who are nationally recognized for their scientific and technical expertise.

Bojana Ginovska leads a physical biosciences research team headed for PNNL's new Energy Sciences Center. She uses the transformative power of molecular catalysis and enzymes to explore scientific principles.

PNNL computational scientist Diana Bacon’s role as carbon storage associate editor uses her expertise in subsurface modeling and quantitative risk assessment.

Soil texture and environmental history play a strong role in how different soils respond to moisture extremes like drought and flood.

Researchers used instruments in an airborne lab to characterize aerosol particles and their sources over the remote Eastern North Atlantic.

Seeking a deeper understanding of when, where, and why large wildfires occur using explainable artificial intelligence.

Urban pollution greatly increases the number of particles over the Amazon, mainly through new particle formation controlled by biogenic gases.

A high-resolution dataset captures a more complete view of the global distribution and characteristics of strong storms called mesoscale convective systems.

Rising greenhouse gases and declining aerosols have triggered an approximate four-day delay in rainfall over tropical land and the Sahel.

PNNL combines AI and cloud computing with damage assessment tool to predict path of wildfires and quickly evaluate the impact of natural disasters, giving first responders an upper hand.

Svitlana Volkova uses natural language processing and AI to reveal how misinformation and disinformation spread through social media.

Researchers to design their own computer accelerators for faster analysis of large datasets.

Machine learning techniques are accelerating the development of stronger alloys for power plants, which will yield efficiency, cost, and decarbonization benefits.

OpenCGRA expedites the design-prototype cycle of computer architecture development.

Research shows that erosional nutrient fluxes linked to extreme rains may complicate efforts to reduce nutrient enrichment in the Gulf of Mexico.

PNNL is lending analytics expertise to a new first-of-its-kind electric-vehicle carsharing program being launched in Hood River, Oregon.

New research aids the design of more efficient water purification technologies.

A research project that brings together mathematicians and atmospheric scientists has developed into a deep collaboration for improving atmospheric models.