Morris Bullock will be the first scientist at a national laboratory to receive the ACS Award in Organometallic Chemistry.

A new model offers more accurate predictions of how intensely hurricanes may strike.

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

PNNL data scientist was invited to give the first big-picture talk about autonomous control systems at the Autonomous Discovery in Science and Engineering Workshop.

PNNL recognizes some of the outstanding postdoctoral researchers that move science forward during National Postdoc Appreciation Week.

PNNL virologist Amy Sims’s coronavirus research paper was among 50 most-downloaded articles related to SARS-CoV-2 in 2020.

Scientists created a benchmark dataset and explored new algorithms to better predict changes in the intensity of North Atlantic tropical cyclones.

Gutiérrez and his collaborators aim to lower the energy cost of converting plastics into fuels and lubricants.

PNNL computer scientist Ang Li serves as one of the principal investigators for a project selected to receive DOE funding.

Slaven Peles, PNNL computational scientist and leader of a national high-performance computing project for power grid analysis, spoke about the project with the host of the Let’s Talk Exascale podcast.

PNNL bioenergy expert Dan Gaspar was awarded the R.A. Glenn Award for Best Paper at the American Chemical Society Fall Meeting on August 24.

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

PNNL’s Karol Kowalski leads one of the 29 projects selected to receive a total of $73 million in funding.

A patented process for converting alcohol sourced from renewable or industrial waste gasses into jet or diesel fuel is being scaled up at PNNL.

A discovery from PNNL and Washington State University could help reduce the amount of expensive material needed to treat vehicle exhaust by making the most of every precious atom.

A team of PNNL researchers are looking at how to evaluate robustness and accountability, fairness, and transparency of artificial intelligence models used to detect and quantify deceptive content online.

A Q&A with Lauren Charles, veterinarian and PNNL data scientist, on zoonotic diseases and the role biosurveillance plays in mitigating the growing threat to global health.

Weber recently shared his knowledge of catalysis in a perspective for the Boudart Special Issue of the Journal of Catalysis and a News and Views article for Nature Sustainability.

More than 30 PNNL interns contributed to the Airport Risk Assessment Model, a web-based tool that helps airport security stakeholders prioritize resource allocations.

Shaw is one of 18 fellows selected by the National Laboratory Directors' Council to join the 2020–2021 Oppenheimer Science and Energy Leadership Program Fellowship.