Fundamental research conducted at the $90-million research facility will help the nation meet its clean energy goals.

Two PNNL interns are behind recent innovation in real-time testing and continuous monitoring for pH and the concentration of chemicals of interest in chemical solutions; outcomes have applicability not only to nuclear, but to industries.

PNNL has received 119 R&D 100 Awards since 1969, when the laboratory began submitting entries in the contest that recognizes top 100 inventions each year.

Tumeo joins other computer scientists in a contributed article on graph processing systems to the Communications of the ACM.

PNNL researchers developed a way to produce accurate simulations of complex physical systems using renormalized approximations across multiple scales

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

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.

PNNL paper in Nuclear Technology journal unveils modeling possibilities for TRISO used fuel, implications for reactor planning, and resulting carbon-free nuclear energy.

PNNL report reflects 10 years of dedication to effectively plan for the safe and uneventful removal of radioactive waste from nuclear power plants.

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.

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 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.