This research addresses two topics that are not well understood in literature: the interplay between organic linkers and substrates during MOF crystallization, as well as the mechanisms that control heterostructure formation in solutions.

Cloud and precipitation characteristics observed by the Global Precipitation Measurement spaceborne radar allowed researchers to establish, for the first time, a global map of mesoscale convective systems in mid- and high-latitude regions.

Nuclear materials and chemical engineering researchers receive WSU’s Voiland College of Engineering and Architecture 2020 faculty awards.

As the planet has warmed during recent history, summer sea ice extent has been decreasing in the Arctic but expanding in the Antarctic at modest but significant rates. This study helps explain why the hemispheres are behaving differently.

Ecological modeler Kate Buenau discusses how the Triton Initiative can use modeling to predict potential environmental effects of marine energy systems.

A new version of the E3SM Atmosphere Model (EAM) has been released to the community. This study provides an overview of the model and the science behind it, describing advances made to address E3SM science challenges.

A study led by researchers at PNNL reveals physical mechanisms that link declining Arctic sea ice to increasing winter air stagnation and pollution extremes in China based on Earth system modeling results.

Biomedical scientist Brian Thrall co-edited the issue published in the journal NanoImpact. Three of the articles in the issue include multiple PNNL authors.

The National Security Directorate at PNNL welcomed many new interns this summer. We wanted to introduce you to a few of these incredible students and how they are making an impact to the success of our mission.

Ang Li and Antonino Tumeo will present hardware to balance machine learning workloads at a top computer architecture conference.

Researchers performed controlled laboratory experiments using river sediment to test organic matter thermodynamics as a mechanism of metabolic control in areas where groundwater and surface water mix.

Researchers performed a combined analysis of metabolic and gene co-expression networks to explore how the soil microbiome responds to changes in moisture and nutrient conditions.

By studying discrete functional components of the soil microbiome at high resolution, researchers obtained a more complete picture of soil diversity compared to analysis of the entire soil community.

Researchers trained deep neural networks to accurately predict microbial interactions captured by fluorescence microscopy.

International editing team provided 15-year update, with Devanathan focused on intersection of nuclear science, materials science, and multiscale modeling.

In this study, researchers probed the ice nucleation ability of different aerosol types by combining 11-year observations from multiple satellites and cloud-resolving model simulations.

PNNL scientists led a study to explore the characteristics of seasonal precipitation changes and investigate the underlying mechanisms, with a focus on clarifying the roles of moisture and circulation in the western U.S.

Scientists at PNNL used an integrated Earth System Model (ESM) and an economically oriented energy-land model to examine how human-natural feedbacks operate under high and medium warming scenarios.

New study provides a key reference for Demeter users and is expected to help reduce uncertainties in downstream hydrologic and Earth system simulations.

To help close the gap between observed and modeled ice-nucleating particles (INPs), researchers simulated concentrations of dust, sea spray, and other types of atmospheric particles within a global atmospheric model.