Researchers have published research detailing their development of an AI framework to detect defects in additively ...

CAMBRIDGE, Mass.--It's a well-known characteristic of metals that repeated bending in the same place can cause the material to weaken and eventually break; this phenomenon, known as metal fatigue, can ...

The formation of lithium dendrites is still a mystery, but materials engineers study the conditions that enable dendrites and how to stop them. Historically, as in decades ago, rechargeable lithium ...

image: THE INTRODUCTION OF DEFECTS INTO ELECTRODE MATERIALS FOR METAL-BASED BATTERIES IS AN EFFECTIVE STRATEGY TO IMPROVE BATTERY PERFORMANCE, DUE TO DEFECTIVE CATALYSTS HAVE THE ADVANTAGES OF HIGH ...

Using X-ray beams and machine learning for detecting structural defects, such as pore formation, can help prevent failure of metal 3D-printed parts. Systematic computer-based material design uses ...

Engineers have found a way to simultaneously mitigate three types of defects in parts produced using a prominent additive manufacturing technique called laser powder bed fusion. University of ...

Add Yahoo as a preferred source to see more of our stories on Google. Scientists from the federally funded Argonne National Laboratory in Illinois and the University of Virginia have developed a new ...

SAN FRANCISCO — A South Korean researcher has described a new method for detecting extremely low levels of metal particles that often turn into chip defects. Excellent methods of detection exist, ...

A new study by Texas A&M University researchers has further refined the process of creating superior metal parts using laser powder bed fusion 3D printing techniques. With a combination of machine ...

Researchers at POSTECH and the Korea Institute of Materials Science (KIMS) have developed an AI-based analytical framework ...