Secretary Wright visited PNNL's campus in Richland, Washington, late last year to meet with innovators in chemistry, biology, computing, and more.

Mystery of how important aluminum minerals form and dissolve solved with materials science and advanced imaging studies.

Mini flow cell battery provides the first step toward an AI-driven, robotic energy storage discovery laboratory.

Three PNNL technologies have been named 2024 R&D 100 Award winners.

Complex metal alloys enter a new era of predictive design for aerospace and other high-temperature applications.

A breakthrough in electron microscopy based on deep learning can automatically visualize and identify areas of interest, helping to speed advances in materials science.

A new AI model developed at PNNL can identify patterns in electron microscope images of materials without requiring human intervention, allowing for more accurate and consistent materials science.