PNNL

Using AI to Explore Possibilities in Advanced Manufacturing

PNNL researchers created a model that helps materials scientists not only predict what is, but what could be.

A Medal for Metal

Simulations Show How Atoms Behave Inside Self-Healing Cement

Crystal Growth's Driving Forces Clarified by PNNL Researchers' Innovative Computational Approach

A Steely Combination

PNNL Materials Scientists Publish Review Article on STEM Analysis of Oxide Interfaces

The First Map of Switchable Liquids

Computing X-ray Absorption Near Edge Spectra of Condensed Matter

Researchers at the IDREAM EFRC developed a new approach called Model Order Reduction that reduces computational complexity and speeds generation of results.

Where Liquid Meets Air: Seeing the Details of Light, Dark, and Water

De Yoreo and Karniadakis Elected to the National Academy of Engineering

Two PNNL staff recognized for work advancing materials synthesis and computational tools by selection to join the National Academy of Engineering.