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

Researchers from PNNL have helped colleagues at OHSU identify lipid molecules required for Zika infection in human cells. The specific lipids involved could also be a clue to why the virus primarily infects brain tissue.

PNNL atomic-scale research shows how certain metal oxide catalysts behave during alkanol dehydration, an important class of oxygen-removal reactions for biomass conversion.

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.

A new PNNL report says the western U.S. power system can handle large-scale vehicle electrification up to 24 million vehicles through 2028, but more than that and cities could start feeling the squeeze.

A technology that can quickly detect explosive vapors, deadly chemicals and illicit drugs with unparalleled accuracy has been named the 2020 Innovation of the Year by GeekWire, the Seattle-based technology news company.

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.

PNNL scientists have created an improved metal-organic framework (MOF) for adsorption cooling, that performs at least 40 percent better than its predecessors.

PNNL works safely to carry out its vital missions and operate the Laboratory safely and effectively during the COVID-19 Pandemic.

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.