Most of the plastic products we use are made through injection molding, a process in which molten plastic is injected into a mold to mass-produce identical items. However, even slight changes in ...

Researchers capture exciton movement inside single CuPc nanofibers and show how molecular packing and defects shape energy transport in organic semiconductors. (Nanowerk News) Organic semiconductors ...

This illustration depicts a non-destructive evaluation system empowered by generative artificial intelligence (AI) to simulate and analyze internal material defects. Leveraging virtual defect ...

• The underlying migration mechanism of Mg 2+ in cathode materials and roles of defects in Mg 2+ migration in cathode materials were studied. • Applications of defect engineering to Mg 2+ migration in ...

ABSTRACT: Rail defects can pose significant safety risks in railway operations, raising the need for effective detection methods. Acoustic Emission (AE) technology has shown promise for identifying ...

Abstract: Defect detection is critical for safely operating equipment in harsh environments. Defect reconstruction, as a representative defect detection method, visualizes defects morphology to ...

Abstract: The task of steel surface defect recognition is an industrial problem with great industry values. The data insufficiency is the major challenge in training a robust defect recognition ...

The birth defects were more likely, but still very uncommon, in infants conceived through certain fertility treatments, a large study found. By Teddy Rosenbluth Major heart defects are more common — ...

The diffusion model used in this project is based on the classic ddpm introduced in the paper "Denoising Diffusion Probabilistic Models". We named this project IDDM: Industrial Defect Diffusion Model.