From cells that migrate to tissues that heal, nature abounds with systems capable of sensing and adapting to their ...

A Johns Hopkins-led research alliance across the country seeks to understand and mitigate the world's most lethal weapons ...

A new computational framework developed by a team with Professor Chris Wolverton maps atomic ordering to unlock ...

Karlsruhe Institute of Technology researcher Gabriely Falcão (foreground) uses an arc-melting machine to forge a ...

No single material parameter can ensure reliability. Adhesion, stress resistance, and thermal stability all must be balanced ...

Hypersonic vehicles — aircraft that can reach speeds of Mach 5 and beyond — are subject to extreme conditions while they are in flight, requiring strong yet aerodynamic materials to keep them both ...

Within the extensive ecosystem that is the Polymer Industry Cluster, academia's roles will be critical in keeping Northeast ...

Like many young boys, Kennesaw State University student Sulaiman Shaikh once dreamed of becoming an astronaut. As a child, he ...

The era has arrived in which artificial intelligence (AI) autonomously imagines and predicts the structures and properties of ...

A programmable metamaterial finger can lock into four positions without electronics. A simpler, more functional future for ...

The field of computational materials science has been profoundly transformed by integrating deep learning and other machine learning methodologies. These sophisticated data-driven approaches have ...

Invisible to the naked eye, odorless, and nearly impossible to detect by taste—traces of lead are in the products we use, the beverages we drink, and the homes we live in. It even shows up in our ...