Literature searches, simulations, and practical experiments have been part of the materials science toolkit for decades, but the last few years have seen an explosion of machine learning-driven ...

This Collection supports and amplifies research related to SDG 9 - Industry, Innovation & Infrastructure. Discovering new materials with customizable and optimized properties, driven either by ...

When it comes to designing the moving structural elements of high-performance machine tools—such as beams, shafts and spindles, and the assemblies used to hold cutting tools—the need for the machine ...

Scientists and institutions dedicate more resources each year to the discovery of novel materials to fuel the world. As natural resources diminish and the demand for higher value and advanced ...

Imagine having a super-powered lens that uncovers hidden secrets of ultra-thin materials used in our gadgets. Research led by University of Florida engineering professor Megan Butala enables a novel ...

Manufacturing evolves to meet the demands of customers and novel products. Sometimes, this means machine shops need to change their approach to normal steps or processes, including how they set-up to ...

The basic engine lathe, one of the most widely used machine tools, is very versatile when used by a skilled machinist. However, it is not particularly efficient when many identical parts must be ...

As part of Machine Design’s 90 th anniversary issue in January, we’ve asked industry experts to take a look at the present and future of technology and how it will impact the design and operation of ...

Researchers have successfully applied machine learning to guide the synthesis of new nanomaterials, eliminating barriers associated with materials discovery. The highly trained algorithm combed ...