Korean researchers have developed a new analysis method capable of detecting “hidden defects” in semiconductors with a sensitivity approximately 1,000 times higher than that of existing techniques.

Researchers from Stony Brook University, in collaboration with Ecosuite and Ecogy Energy, have developed a self-supervised machine-learning algorithm designed to identify physical anomalies in solar ...

The global solar boom has introduced a new urgency around asset durability, performance, and risk. As utility-scale solar farms become more common, so do the invisible defects that compromise ...

Sophisticated artificial intelligence tools are being used to inspect power lines in an era of transition and climate risk. A helicopter loaded with cameras and sensors sweeps over a utility’s ...

Solar energy is a crucial part of our clean energy future, but a new, highly efficient solar material has a hurdle that needs to be addressed. A recent study reveals how a microscopic weak spot can ...

Researchers in India demonstrated that ion beam implantation enables precise boron doping in silicon solar cells, reducing defects and improving charge transport. The proposed approach could support ...

Having spent 30+ years in residential construction, contracting, remodeling, maintenance and home repair, Deane now contributes DIY, informational and financial content as a freelance writer and ...

Semiconductors are used in devices such as memory chips and solar cells, and within them may exist invisible defects that interfere with electrical flow. A joint research team has developed a new ...