A team of theoretical researchers has found duality can unveil non-invertible symmetry protected topological phases, which ...

Brian Maple is a Distinguished Professor and holds the Bernd T. Matthias Endowed Chair in Physics at the University of ...

Machine learning has emerged as a powerful tool in condensed matter physics, offering new perspectives on the exploration of quantum many-body systems, phase transitions and exotic states of matter.

Quantum materials can behave in surprising ways when many tiny spins act together, producing effects that don’t exist in single particles.

Condensed-matter physics and materials science have a silo problem. Although researchers in these fields have access to vast amounts of data – from experimental records of crystal structures and ...

Theoretical physicists have established a close connection between the two rapidly developing fields in theoretical physics, quantum information theory and non-invertible symmetries in particle and ...

A quantum state of matter has appeared in a material where physicists thought it would be impossible, forcing a rethink on ...

Imagine a two-dimensional flatland, instead of our three-dimensional world, where the rules of physics are turned on their head and particles like electrons defy expectations to reveal new secrets.

The Condensed Matter and Materials Research Committee (CMMRC) is responsible for advising the National Academies' Board on Physics and Astronomy on the fields of condensed matter science and materials ...