Part one of this forecast looked at evolving transistor architectures and lithography platforms. This report examines revolutions in interconnects and packaging. When it comes to device interconnects, ...

The IAEA is inviting research organizations to join a new project that will use machine learning to better predict structural changes in polymers caused by ionizing radiation. Rad ...

Materials failures account for a significant percentage of medical device recalls and performance problems but are often overlooked as a potential source of risk. Amy Heintz, PhD Will the materials in ...

Quantum magnetometers are able to detect and visualize the tiniest damage in ferromagnetic materials. In aerospace technology or the automotive industry, they can help to significantly increase the ...

Atmospheric CO2 continues to increase and, despite considerable worldwide efforts to cut down on carbon waste, is expected to rise more in coming decades. Researchers demonstrated that new, lower-cost ...

(Nanowerk News) A research team led by the Department of Energy’s Oak Ridge National Laboratory has devised a unique method to observe changes in materials at the atomic level. The technique opens new ...

A recent study published in npj Materials Degradation introduces a two-stage machine learning (ML) framework that predicts the degradation of protective coatings under various environmental conditions ...