Researchers have been investigating if machine learning techniques could be used to help create novel beers.

Human-machine teaming may sound like something from the distant future. In “Human-Machine Teaming: A Vision of Future Law Enforcement” in Domestic Preparedness, Corey Fallon, Kris Cook, and Grant Tietje of PNNL examine this topic.

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

Johannes Lercher, Battelle Fellow and director of the PNNL Institute for Integrated Catalysis, envisions energy storage solutions at the new Energy Sciences Center.

PNNL is rock solid on carbon storage, building on successful demonstration in eastern Washington.

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

Artificial intelligence-based decision tool enables grid operators to respond more quickly and effectively to grid emergencies.

PNNL researchers contributed to the International Conference on Data Science and Advanced Analytics 2021 Best Paper Award-winning publication.

New climate pledges issued ahead of COP26 boost the chances of limiting global warming to 2 degrees, according to a new study in Science.

PNNL is highlighting scientific and technical experts in the national security domain who were recently promoted to scientist and engineer Level 5, one of PNNL’s most senior research roles.

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

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.

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