AI Materials Discovery Platform MatForge Identifies Three New Superconductor Candidates in 72 Hours

AI Materials Discovery Platform MatForge Identifies Three New Superconductor Candidates in 72 Hours

On July 19, 2028, MatForge, a materials discovery platform jointly developed by Germany's Max Planck Institute and AI company Citrine Informatics, announced a breakthrough in superconductor screening. The platform completed virtual screening of 23,000 candidate compounds in 72 hours and confirmed through automated laboratory validation that three materials exhibit superconducting properties under specific conditions.

MatForge's workflow consists of three stages: an AI model predicts candidate materials' electronic structures and phonon spectra, quantum chemistry simulations validate predictions, and finally an automated experimental platform synthesizes trace samples and tests their electrical properties. The entire closed-loop cycle averages 24 hours, whereas traditional materials discovery typically takes years.

The three candidate materials discovered are all novel copper oxide compounds with critical temperatures between 145K and 178K—still far from room-temperature superconductivity but surpassing previous records for similar materials. Max Planck Institute's Solid State Chemistry Department head Rüdiger Kniep said these materials have crystal structures completely different from known superconductors, opening new directions for superconductivity mechanism research.