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

Four research staff from PNNL are part of an international team that earned top honors for a journal paper focused on a new algorithm-evaluation approach for buildings.

The eighth Arab-American Frontiers of Science, Engineering, and Medicine Symposium, co-organized by PNNL engineer and research line manager Leonard Pease, brought together multi-disciplinary researchers from around the globe.

PNNL scientists discover new soil viruses across different climates.

Studying MERS-CoV may lead to better treatments for a host of respiratory illnesses, including the many variants of COVID-19.

A study raises questions about how far droplets, like those that carry the virus that causes COVID-19, can travel before becoming harmless.

The scientist behind the online cartoon RedPen/BlackPen explains how humor can build bridges between scientists and the public.

PNNL scientists are protecting first responders and others by expanding what’s known about fentanyl, the driver of the opioid epidemic.

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.

PNNL’s Scott Baker has been elected a fellow by the American Association for the Advancement of Science.

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

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.

PNNL researchers received the “Best Paper Award” at the 39th IEEE International Conference on Computer Design.