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

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.

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

Simulations reveal advantages of using new model vs. allometric scaling for risk assessment.

A multi-institutional team has developed a deep learning framework to identify novel molecules as drug candidates.

New PNNL research provides the first direct evidence that amorphous intermediates influence subsequent crystallization outcomes using in situ imaging.

IDREAM study characterizes chemical species and mechanisms that control aluminum salt and mineral crystallization for nuclear waste retrieval, processing.

Hypergraphs can more faithfully identify important genes in complex immune responses.

The web-based tool, called PLATIPUS, is publicly available and interacts with publications available in the CovidScholar database.

New quantum chemistry pipeline can help predict the effects of bioengineering.

High-throughput biochemical assays targeting a vital viral protein identified one molecule out of more than 13,000 with promising antiviral activity against SARS-CoV-2.

Researchers gained insight into the interfacial radiation chemistry of radioactive waste sludge through studies of surface functional groups on model aluminum-containing solids

IDREAM researchers have discovered the chemical processes that underpin gibbsite solubility in sodium hydroxide, including sodium nitrate and sodium nitrite interactions.

Understanding lipid composition of ant fungal gardens provides new knowledge on interkingdom communications band and also advances toward the development of microbial systems that can produce valuable compounds from plant biomass.

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.

Researchers have developed a new technique to visualize the activity and distribution of enzymes that mobilize phosphate around plant roots.