Storage Targets and Release Function Inference Tool uses data to infer the operating policies of large reservoirs on a national scale.

PNNL researchers utilized the Peeters-Devreese-Soldatov formulation to improve the accuracy of calculations for quantum chemistry.

A new hexagonal framework helps more accurately model watersheds at a range of scales.

Using size-tunable ionic liquid clusters make electrochemical separations more efficient.

Newly determined energy transfer mechanisms help identify how water releases from and damages irradiated interfaces.

Using unique laboratory single-particle measurements to understand some of the most uncertain processes affecting secondary organic aerosol formation.

A multisectoral analysis that combines land use data with hydrological simulations reveals wide disparities in potential source water contamination.

Study reveals importance of accounting for micrometer scale distribution of substrates to predict carbon emissions from soil.

Developing an understanding of how water breaks apart after radiation exposure.

Developing a model for global soil erosion and sediment flux to advance understanding of land, river, and ocean geomorphology and biogeochemistry.

Researchers are developing an understanding of how either wet or dry soil patches change the sizes of atmospheric eddies and cloud clusters.

Moving toward a deeper understanding of the influence of large marine biogenic particles on cloud ice formation by combining modeling and observational data.

COVID-19 had multiple impacts on the electric sector and the nature of those impacts varied on the scale analyzed.

The overlooked impact of regional hydroclimate changes on lake evaporation implies more robust regional lake volume changes around the globe.

IDREAM researchers use fast force mapping to provide insights into the boehmite interfacial solution structure.

IDREAM researchers assess the potential of photon-in/photon-out XFEL techniques to explore early time reaction steps and ultimately improve nuclear waste processing strategies.

A comprehensive understanding of the electronic structure of uranyl ions provides insight into the chemistry of nuclear waste and uranium separation technologies.

Improving predictability of water quality and nutrient cycling in large river systems.

Developing conceptual models for microbial-environmental–ecosystem interactions is key to enhancing the ability of models to predict future ecosystem function.

Researchers characterize protein signatures that indicate Acute Kidney Injury in COVID-19 patients.