AI is exceptionally good at spotting anomalies in semiconductor inspection. The challenge is training different models for ...

The Korea Research Institute of Standards and Science has successfully developed a high-quality compound semiconductor material for ultra-sensitive short-wave infrared (SWIR) sensors. The study is ...

AI excels at spotting semiconductor defects, but training models for various inspection tools and textures remains a challenge. Once trained, AI outperforms traditional methods. Nordson’s Charlie Zhu ...

doped is a Python software for the generation, pre-/post-processing and analysis of defect supercell calculations, implementing the defect simulation workflow in an efficient, reproducible, ...