Researchers at The University of Manchester have developed a new computational approach to help identify two-dimensional ...

From superconductors and AI-driven quantum analysis to black hole physics, Day 2 of QMAT2026 highlighted cutting-edge ...

Physicists at the University of California, Irvine, have developed an artificial intelligence system that can autonomously ...

Scientists have combined machine learning with quantum physics to discover two new superconductors and create a much faster way to search for many more. The technique could bring researchers ...

This research was published in the journal Science Advances.Discovery of flat-band 2D materials via physics-informed scoring ...

Two newly discovered superconductors highlight the potential of machine learning to accelerate materials discovery.

An international research consortium announced on June 29 that it has experimentally confirmed two previously unknown superconductors — the first materials ever identified from scratch by a ...

Machine learning helped identify new superconductors and a process that could speed the discovery of thousands more ...

Scientists have demonstrated a powerful new way to search for one of physics' biggest prizes: practical superconductors.

Drawing from his own experience in experimental science, Professor G Ravindra Kumar explained how AI could help address ...

Image courtesy by QUE.com As we navigate the landscape of 2026, we find ourselves no longer merely using Machine Learning (ML) but ...

A new speaker array, an immersive surround system and machine-learning vocal isolation technology are transforming the experience at one of the world's most beloved concert venues.