Applied Materials has launched the SEMVision™ H20, a new defect review system designed to enhance the analysis of nanoscale defects in advanced semiconductor chips. This system utilizes cutting-edge ...

Detecting macro-defects early in the wafer processing flow is vital for yield and process improvement, and it is driving innovations in both inspection techniques and wafer test map analysis. At the ...

Machine learning is becoming increasingly valuable in semiconductor manufacturing, where it is being used to improve yield and throughput. This is especially important in process control, where data ...

Provides non-destructive 3D analysis of the location, morphology, and depth profile of internal defects in glass ...

SEMVision™ H20 enables better and faster analysis of nanoscale defects in leading-edge chips Second-generation “cold field emission” technology provides high-resolution imaging AI image recognition ...

Defect engineering is the deliberate introduction, removal, or manipulation of structural imperfections in nanomaterials to tailor their properties for specific applications. Unlike the traditional ...

A recent review article published in Advanced Materials explored the potential of artificial intelligence (AI) and machine learning (ML) in transforming thermoelectric (TE) materials design. The ...

Manufacturing engineering encompasses the design, analysis and optimisation of processes that convert raw materials into finished goods. It spans a spectrum from traditional metal forming, machining ...

A Nigerian-born quality engineer based in Illinois has patented an augmented reality inspection platform that could cut manufacturing defect costs by more than half—and reshape America’s industrial ...

Scientists at The University of Manchester have uncovered how subtle changes in temperature during a promising metal 3D printing process can significantly affect the quality of aluminum components.