A new iron-based aqueous flow battery shows promise for grid energy storage applications.

PNNL scientists have put forth a new approach to protect the electric grid, creating an approach that sorts and prioritizes cyber threats on the fly.

ChatGrid™ is a practical application of the Department of Energy’s exascale computing efforts and offers a new experience in easy, intuitive, and interactive data interaction.

Post-consumer recycled aluminum to be transformed into high strength building materials and consumer goods with patented ShAPE™ manufacturing process.

Machine learning methods and data science can uncover hidden patterns in nanoparticle synthesis conditions and property outcomes.

The convergence of artificial intelligence, cloud, and high-performance computing to accelerate scientific discovery is the focus of a multi-year collaboration between Microsoft and PNNL.

PNNL has created the Center for AI @PNNL to coordinate the pioneering research of hundreds of scientists working on a range of projects in artificial intelligence.

Input from humans helps when deciding whether to trust the recommendations or decisions of a machine-learning system.

From air-sealing windows and checking for leaky ducts to insulating the attic, PNNL researchers offer tips on how to keep a home warm in winter weather.

PNNL is collaborating with Microsoft, Micron and other partners to make computational chemistry broadly available.

PNNL researchers offer tips and tricks for keeping your home cool during a heat wave.

Scientists have developed a better way to recognize denial-of-service internet attacks, improving detection by 90 percent.

Workers feeling a specific form of stress are more likely than others to become the victims of a phishing attack, according to a new study.

Researchers have knitted together three large databases of information to help cybersecurity experts detect and prevent attacks.

Data-driven autonomous technology to rapidly design and deliver antiviral interventions targeting SARS-CoV-2 to reduce drug discovery timeline and advance bio preparedness capabilities.

Scientists have taken a key step toward harnessing a form of AI known as deep reinforcement learning to protect computer networks.

The work by the team at PNNL takes a critical step in leveraging ML to accelerate advanced manufacturing R&D, specifically for manufacturing techniques without access to efficient, first-principles simulations.

A PNNL researcher offers tips on protecting you and your family from harmful wildfire smoke when indoors.

DOE to invest with PNNL in streamlining the commercialization of national laboratory innovations.

PNNL researchers design an artificial intelligence-guided electron microscope in a Laboratory Directed Research and Development study.