Most materials, especially metals and ceramics, are crystals. Their atoms are arranged in three-dimensional lattices that repeat the same exact pattern, over and over again. But there's a well-known ...

AI-driven material development and new additive manufacturing technology are accelerating new aluminum alloy, battery, and material processing innovations.

Eleftheria Roumeli, a materials science and engineering associate professor, highlighted three challenges in the use of ...

In a paper published today in Nature Synthesis, a team from the lab of University of Chicago Pritzker School of Molecular Engineering (UChicago PME) and Chemistry Department Prof. Paul ...

Making computer chips smaller is not just about better design. It also depends on a critical step in manufacturing called patterning, where nanoscale structures are carved into materials to form the ...

There is a near-infinite number of material candidates out there—and simply not enough time to hunker down in the lab and test them all. Thankfully, researchers have a variety of tools (such as AI) at ...

The Deep Potential Model paired with Raman spectroscopy show unexpected findings when a highly symmetric material is bent in a zigzag pattern.

Infrared cameras inform a convolutional neural network that determines the melt-fraction level of phase change materials.

Scientists have developed a cleaner way to separate cobalt and nickel from lithium-ion battery ...

This invited publication highlights the contributions of Distinguished Professor Hao Li to AI and materials science – focusing on their original ...

The planned pilot facility will simultaneously generate clean hydrogen and high-value carbon nanomaterials, enabling a dual-revenue model.

In a paper published today in Nature Synthesis , a team from the lab of University of Chicago Pritzker School of Molecular Engineering (UChicago PME ...