08/25/2026
Two new superconductors offer an early proof of concept for an AI-guided approach to materials discovery.
Researchers with the SuperC consortium have experimentally confirmed two superconducting materials first identified using machine learning, an important milestone for the Quantum Geometry in 3D Materials (QG3D) project.
Led by Päivi Törmä at Aalto University, with collaborators including Emilia Morosan at Rice University, the team combined computational predictions with materials synthesis and experimental testing to find and confirm the new materials.
Next comes QG3D’s more distinctive challenge: bringing quantum geometry into this predictive framework to uncover superconductors with new and potentially useful properties.
The Kavli Foundation supports QG3D in partnership with the Klaus Tschira Foundation and independent philanthropist Kevin Wells.
Read more from Aalto University: https://www.aalto.fi/en/news/researchers-identify-new-superconductors-unlocking-process-that-could-yield-thousands-more
Physicists have used machine-learning to discover two new superconductors––it represents a substantial step towards realising massive energy efficiency gains from superconductivity.