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.

From hypersonic aircraft to nuclear-powered submarines, many of today’s most advanced defense systems rely on a special class ...

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 ...

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 ...

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 ...

AI is helping scientists crack the code on next-gen batteries that could replace lithium-ion tech. By discovering novel porous materials, researchers may have paved the way for more powerful and ...

Shodh AI, selected as one of the twelve foundational model companies under the Government of India's prestigious IndiaAI Mission, today announced the launch of Project Skanda. As an "AI for Science" ...

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.

Researchers at the NYU Tandon School of Engineering have developed a model using zeolite-based ...