Research from the PNNL-led WHONDRS consortium reveals chemistry and spatial gradients of metabolomes from river water and sediments around the globe.

In adjoining Energy Sciences Center laboratories, researchers develop better energy storage devices by understanding the fundamental reactions that form interfaces.

PNNL scientists publish paper and host workshops to share threat-agnostic vision for biodefense.

From water purification, to better batteries and tools to foil a cyberattack—a look back at how PNNL helped to invent a brighter and better future over the last year.

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

A multi-institutional team has obtained information about nanoscale interactions between the spike protein of the novel coronavirus SARS-CoV-2 and common household inorganic surfaces.

Scientists have devised a way to engineer yeast to produce sustainable, eco-friendly commodity chemicals using computing power as a guide.

Researchers map nearly 9,000 proteins in the human lungs, providing a clearer picture of development.

The nested nanoPOTS chip is the next generation of technology developed at PNNL to prepare single cells for proteomics.

Customized molecular tools identify specific microbial functions that are key to healthy people and environments.

A study of Middle East Respiratory Syndrome has identified a compound that shows potential in easing the symptoms of coronavirus infections.

Mary Lancaster, epidemiologist and data scientist, co-authored a chapter on cyberbiosecurity for the NATO Science for Peace and Security book series.

Richard (Dick) Smith and Ljiljana (Lili) Paša-Tolić are experts in developing technology and techniques for mass-spectrometry-based multi-omics measurements.

Exposure to polycyclic aromatic hydrocarbons found at Superfund Sites induces enzymes in dose- and time-dependent patterns in mice.

Soil moisture influences both the activity of soil DNA viruses, as well as the composition and abundance of RNA viruses.

A new microbial community model reveals previous exposure to hydrologic variation influences a species’ specialized biogeochemical functions.

Detailed characterization of molecules in, under, and along the Columbia River reveal potential mechanisms for biogeochemical cycling.

Integrating hydrogeology and biogeochemistry are required to model the dynamics of geochemical processes occurring in river corridor zones where groundwater and surface water mix.

Theoretical analysis reveals flow variations that happen over longer time periods affect a plume’s spread and center of mass.

PNNL data scientists are refining their artificial intelligence tools with COVID-19 data to advance therapeutics and treatments for a future pandemic.