Quantum researchers are searching for a topological superconductor—a material that, if discovered, would allow major advances ...

A new computational method allows modern atomic models to learn from experimental thermodynamic data, according to a University of Michigan Engineering and Université Paris-Saclay study published in ...

Training deep neural networks (DNNs) involves navigating a high-dimensional, non-convex loss landscape, yet much of the phenomenology of this process remains poorly understood. Three observations ...

Contrary to conventional wisdom, so-called order parameters that distinguish symmetry-governed phases of matter can have topological structure. Symmetry constitutes a fundamental concept in physics.

Researchers find the conditions for when a cell membrane will wrap around a plastic bead, providing insight into how living things interact with viruses, microplastics, and other objects. When a cell ...