The new model takes into account an important class of material defects (grain boundaries) and the tendency of the mixed solutes to gather—or segregate—around the structural imperfections during alloy ...

A recent review article published in Advanced Materials explored the potential of artificial intelligence (AI) and machine learning (ML) in transforming thermoelectric (TE) materials design. The ...

When we talk about defects, we generally think of flaws or impairments. However, as far as materials science is concerned, defects represent windows of opportunity. A new Collaborative Research Center ...

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 ...

Researchers have uncovered a major cause of limitations to efficiency in a new generation of solar cells. Researchers in the materials department in UC Santa Barbara's College of Engineering have ...

Defects in transistors, such as unwanted impurities and broken chemical bonds in the various layers of the semiconductor, can limit their performance and reliability. These defects are becoming harder ...

Micro-LED display driven with CuIn5Se8 transistors processed by solution deposition. The LEDs are inorganic making them hard to operate without the power available from devices made with the new ...