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 ...

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 ...

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 ...

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, ...

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

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 ...