Researchers used AI-guided electron microscopy to map atomic-level point defects in 3D within ultrathin MXene layers, ...

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 ...

Materials that emit and manipulate light are at the heart of technologies ranging from solar energy to advanced imaging ...

Two-dimensional (2D) materials show great promise for photocatalysis, a key technology for sustainable energy solutions like water splitting. However, optimizing their performance requires precise ...

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 ...

Cadmium selenide nanoplatelets provide a promising foundation for the development of innovative electronic materials. Since the turn of the millennium, researchers around the world have taken a ...

Researchers have discovered a new way to grow graphene that deliberately adds structural defects to enhance its usefulness in electronics, sensors, catalysts, and more. Using a specially shaped ...

The AI model rapidly maps boundary conditions to molecular alignment and defect locations, replacing hours of simulation and enabling fast exploration and inverse design of advanced optical materials.

Material selection directly impacts manufacturing efficiency, cost, and product quality. The right materials help reduce ...

Scientists have discovered that a "single atomic defect" in a layered 2D material can hold onto quantum information for microseconds at room temperature, underscoring the potential of 2D materials in ...