PNNL researchers design an artificial intelligence-guided electron microscope in a Laboratory Directed Research and Development study.

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.

Xantheas awarded a visiting fellowship from the International Center for Advanced Studies of Energy Conversion in Germany.

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.

Researchers are studying the chemical reactions that occur when oxygen mixes into the surface of oxide materials.

An improved model captures the interactions between the U.S. economy, energy, water, and land systems with increased spatial and temporal detail.

Recalibrating both cloud and subgrid representations improves model projections of the base climate, aerosol-cloud interactions, and cloud feedbacks.

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

Projects range from improving analytical instruments to producing precision prototypes.

Jie Xiao, a world leader in electrochemical energy storage, has received the E.O. Lawrence Award from the Department of Energy.

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

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

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

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

A newly developed tool helps researchers analyze process-level relationships within atmospheric models.

In an invited review article, PNNL researchers examined the literature surrounding modeling and measuring the ice-nucleating particles that help form clouds.

Combining multiple experimental techniques allowed researchers to observe the early stages of oxidation in a model material.

PNNL mathematicians and data scientists had a strong presence at the 2022 Joint Mathematics Meetings as event organizers and speakers.

A novel database of tracked deep convective storms reveals how environmental factors affect storm formation and growth in South America.