In a major advance, researchers at the Indian Institute of Science (IISc) have devised a method to grow high-quality 2D ...

Within the context of semiconductor inspection and failure analysis, latent defects present a significant challenge because they make it difficult to determine whether a fault originated during ...

This repocitory contains a Python implementation to an offline-online based domain decomposition strategy for randomly perturbed multiscale coefficients. The code reproduces the numerical experiments ...

ABSTRACT: Effectively detecting subtle surface defects in strip steel is vital for industrial quality assurance; however, most existing approaches fail to strike an optimal balance between accuracy ...

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 intrinsically antiferromagnetic topological insulator, MnBi2Te4 (MBT), has garnered significant attention recently due to its potential to host numerous exotic topological quantum states.

Hydrogen can be either beneficial to silicon solar technologies, passivating bulk and surface defects, or detrimental, contributing to light- and elevated-temperature-induced degradation (LeTID) and ...

TDK SensEI’s edgeRX Vision system, powered by advanced AI, accurately detects defects in components as small as 1.0×0.5 mm in real time. Operating at speeds up to 2000 parts per minute, it reduces ...

• 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 ...