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 ...

Researchers have developed a new method for detecting defects in additively manufactured components. Researchers at the University of Illinois Urbana-Champaign have developed a new method for ...

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

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 ...

image: Defect engineering is an effective strategy to modify 2D materials for enhanced HER activity. By structuring edge defects, vacancy defects and dopant derived defects, the electronic structure ...

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 ...

Michigan Tech's advanced degree programs in Manufacturing Engineering meet industry needs and further your expertise in the field. Be equipped to continue accelerating the growth of innovative ...