Researchers at PNNL are contributing artificial intelligence, machine learning, and app development expertise to a U of W project that will ease challenges with urban freight delivery. The project will provide delivery drivers with a tool
Scientists have uncovered a root cause of the growth of needle-like structures—known as dendrites and whiskers—that plague lithium batteries, sometimes causing a short circuit, failure, or even a fire.
Researchers at the Department of Energy’s Pacific Northwest National Laboratory and Sandia National Laboratories have joined forces to reduce costs and improve the reliability of hydrogen fueling stations.
Scientists created a fast-track tutorial that equips a neural network to tackle drug discovery and other applications where there's a shortage of precisely labeled chemical data.
PNNL leads a consortium to help find the best algae strains for biofuels and bioproducts to reduce the cost of producing bioenergy from algae feedstocks.
A process for converting carbon-rich pollution to jet fuel powered a commercial flight for the first time, marking history and ushering in a new era for low-carbon aviation.
Scientists are exploring the use of deep neural network to interpret highly technical data related to national security, the environment and the cosmos.
New ARPA-E funding in enabling PNNL to develop two different technologies that could one day enable cars to run on biofuel made from seaweed grown in the open ocean.