What will it take to make our electronics smarter, faster, and more resilient? One idea is to build them from materials that are topological. Topology stems from a branch of mathematics that studies ...

A massive new database of dielectric material properties could speed up the development of electronics like smartphones and energy storage systems. AI-driven materials discovery has great potential to ...

(Nanowerk News) Nanoengineers at the University of California San Diego’s Jacobs School of Engineering have developed an AI algorithm that predicts the structure and dynamic properties of any material ...

Waste analytics company Greyparrot has launched Deepnest, an artificial intelligence- (AI-) powered waste intelligence platform designed to give brands direct access to their recyclable material data.

A NIMS research team has developed a new experimental method capable of rapidly evaluating numerous material compositions by ...

For the U.S. Army Reserve’s 88th Readiness Division, the best way to effectively manage hazardous materials inventories and provide immediate access to safety data sheets came down to a simple choice: ...

Too often buildings end up as waste at the end of their lifecycle. How can the built environment move towards a circular economy, and in turn, reimagine how valuable materials are tracked and recycled ...

3D printing is much like CNC milling or welding or just about any physical manufacturing process, in that good results fundamentally come down to having the right settings. In an effort to aid those ...

A new materials database reveals more than 90,000 known 'topological' materials with persistent electronic properties. What will it take to make our electronics smarter, faster, and more resilient?