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

While machine learning has improved detection, most models fail when confronted with attack scenarios they have never seen before, because they learn data patterns rather than the underlying physics ...

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 ...

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 ...

CUK launches two four-year UG honours programmes in Physics and Data Science, accepting CUET applications until July 17.

Researchers have discovered two new superconductors using a machine learning-based screening method, demonstrating a ...

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 ...