A new neural network structure developed at Northwestern Engineering can predict the plasticity of materials, considering a material’s microstructure better and faster than traditional approaches.

Researchers at IMDEA Materials Institute have developed a pioneering method to assemble silicon nanowires into ordered, macroscopic networks: a key step toward expanding their industrial applications.

What if a soft material could move on its own, guided not by electronics or motors, but by the kind of rudimentary chemical ...

A groundbreaking new material bends the rules of physics by combining surprising strength with impressive stretch. Scientists have long faced a trade-off in materials science: the stiffer something is ...

SAN FRANCISCO--(BUSINESS WIRE)--Today, the Quad Investors Network (QUIN) proudly announced its collaboration with India’s Epsilon Advanced Materials in support of the company’s recent decision to ...

The conference will gather stakeholders in the aerospace raw materials and manufacturing industries, from OEMs to tier 3 and 4 suppliers. The program will address the ongoing pressures to improve ...