PNNL’s Steven Spurgeon, a materials scientist, was recently elected leader of the Microscopy Society of America (MSA) aberration-corrected microscopy focused interest group.

Historical weather data informs projections of global yields of economically important crops.

To accurately model future U.S. agricultural production, changes in international crop yields cannot be ignored.

The structure-directing agent directly interacts with framework components during material formation.

Researchers introduced a simulated carbon cycle to the Energy Exascale Earth System Model, broadening its utility and enabling new research directions.

Ecosystem feedback fire model opens new investigative pathways into impacts of fire on future climate.

Hybrid land use model incorporates key factors to understanding agriculture’s potential response to climate change.

Differences in the rainfall intensity of mesoscale convective systems and other types of warm—season rainfall in the central United States lead to differences in their impacts over land.

Researchers developed a new tool that combines artificial intelligence and microscopy data to rapidly test new materials for fusion reactor use.

Atmospheric rivers that make landfall on the U.S. West Coast show broad increases in size and intensity with warmer local sea surfaces.

Floodplain inundation simulations shed light on flood generation mechanisms and the increasing role of extreme rainfall.

Materials scientists at PNNL are demonstrating materials with improved properties using solid phase processing.

In a new video series, PNNL is highlighting six scientific and technical experts in the national security domain throughout the fall. Each was promoted to scientist and engineer Level 5, one of PNNL’s most senior research roles.

Information extracted from a variety of atmospheric observations can correct the behavior of a model and improve simulated clouds.

Aerosol treatments in E3SM affect clouds, heat reflected to space, and Earth’s snow-or-ice-covered surface.

A PNNL engineering team has designed personal protective equipment in support of COVID-19 aid.

Researchers created an open database for soil-atmosphere greenhouse gas flux data.

PNNL researchers used the Global Change Analysis Model (GCAM) to explore 15 different global scenarios that consisted of combinations of five different socioeconomic futures and four different climatic futures.

Infusing data science and artificial intelligence into electron microscopy could advance energy storage, quantum information science, and materials design.

PNNL chemist Xin Zhang has rallied a multi-author team to produce a book the American Chemical Society published this fall.