The rapid increase in electric vehicle adoption in recent years has highlighted a crucial issue: the energy conversion efficiency of electric motors. In electric motors, iron loss or magnetic ...

Single-molecule magnets (SMMs) are exciting materials. In a recent breakthrough, researchers have used deep learning to predict SMMs from 20,000 metal complexes. The predictions were made solely based ...

Data is growing at a staggering pace, pushing charge-based microelectronics, such as smartphones and laptops, to their ...

On a breezy afternoon last autumn in Cambridge, Mass., in a laboratory thrumming with the huff-whish-huff sound of ...

Researchers develop a new computational model that helps identify origin of complex magnetization reversal in soft magnets.

Maze magnetic domains in soft magnetic materials strongly influence energy loss in electric motors, particularly at high ...