DOE’s continued support will allow CENATE researchers to advance computing through the evaluation of novel technologies.

Zhaoqing Yang, chief scientist for coastal ocean modeling at PNNL in Sequim, WA, was recently selected to serve as the lead guest editor for a special issue of the Renewable Energy journal.

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.

Covalent organic polymers can adsorb three times more refrigerant than the best available alternatives, resulting in more efficient cooling.

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

PNNL’s Sequim campus hosts underrepresented students and teachers from Washington State’s Olympic peninsula to nurture future researchers needed to create sustainable, culturally sensitive, marine energy technologies.

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.

The Triton Initiative supports projects funded through U.S. Department of Energy funding opportunity announcements developing environmental monitoring technologies for marine energy.

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.

With a focus on prevention, PNNL researchers are working to predict droughts, enhance grid resilience, and manage forests to reduce wildfire.

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.

Voice for ocean-based climate solutions and strategist for PNNL’s Coastal Sciences Division, Simon Geerlofs, speaks about the Triton Initiative.

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.

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