Researchers are using AI to uncover previously hidden physical laws in complex systems, from maze-like magnetic patterns in soft materials to particle interactions in dusty plasma. New explainable ...

Just as wave-like patterns can appear on a computer screen when pixels do not align, new research led by Flinders University ...

Trading mentorships can speed up learning by providing structured strategies, feedback, tools, and accountability, helping ...

Magnetic domains can take on a wide range of structures. In certain soft magnetic materials, they form complex zig-zag ...

Researchers have developed an AI-powered model to understand the "maze-like" magnetic patterns that cause energy loss in ...

Researchers use quantum computing to encode Hepatitis D virus genome ...

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

The rapid increase in electric vehicle adoption in recent years has highlighted a crucial issue: the energy conversion ...

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

New model uses persistent homology to analyze topological features in data and extract inhomogeneous structural features from ...

The rapid increase in electric vehicle adoption in recent years has highlighted a crucial issue: the energy conversion efficiency of electric motors ...

If someone told you there’s a place in Minnesota where reality takes a coffee break and your brain starts questioning its ...