Scientists used Lorentz transmission electron microscopy (LTEM) to visualize topological defects. They were able to do so by passing electrons and observing their deflections through a thin magnetic ...

A technical paper titled “Accelerating Defect Predictions in Semiconductors Using Graph Neural Networks” was published by researchers at Purdue University, Indian Institute of Technology (IIT) Madras, ...

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 ...

Korean researchers revealed that efficiency losses in heterojunction solar cells arise from two coexisting defect types – dangling bonds and weak silicon-silicon bonds. Their findings explain how ...

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 ...

Hybrid perovskites are promising materials for the next generation of solar cells as they combine the benefits of both organic and inorganic materials. Currently, the efficiency of hybrid perovskite ...

Advancements in nanotechnology fabrication and characterization tools have facilitated a number of developments in the creation of new two-dimensional (2D) materials and gaining and understanding of ...

What if manufacturing companies could pinpoint the exact cause of a defect the moment it occurs, preventing costly production delays and ensuring top-notch quality? Generative artificial intelligence ...

There is an expectation from consumers that today’s electronic products will just work and that electronic manufacturers have continued to improve the quality of their products. In most cases, this ...