Korean researchers revealed that efficiency losses in heterojunction solar cells arise from two coexisting defect types – dangling bonds and weak silicon-silicon bonds. Their findings explain how ...

Researchers have tested eight stand-alone deep learning methods for PV cell fault detection and have found that their accuracy was as high as 73%. All methods were trained and tested on the ELPV ...

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.

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 ...