AI Supercharges Hunt for Room-Temperature Superconductors With Discovery of Two New Materials
Using machine learning combined with quantum physics, scientists have discovered two new superconducting materials and created a dramatically faster method to search for more, bringing the goal of room-temperature superconductors significantly closer.
A Machine Learning Breakthrough
An international research consortium has demonstrated that machine learning can dramatically accelerate the discovery of superconducting materials, using AI to screen vast numbers of elemental combinations and identify the most promising candidates for detailed quantum analysis. The SuperC consortium, led by Aalto University Professor Päivi Törmä, used the approach to identify two previously unknown superconductors, YRu3B2 and LuRu3B2, both of which derive their properties from electrons forming flat bands within a kagome lattice structure.
What Are Superconductors?
Superconductors carry electric current with zero resistance. These materials power quantum computers, medical neuroimaging, fusion reactors, among other important technologies. However, superconductors only get special quantum properties at extremely cold temperatures near absolute zero. Researchers typically need very expensive cooling equipment to use them. Scientists all over the world are racing to find one that can be scaled up and work at a regular room temperature.
The AI Advantage
To identify these materials, researchers first used machine learning to rapidly screen enormous numbers of possible elemental combinations. This approach dramatically reduces the search time compared to traditional trial-and-error methods. After the computational screening, collaborators at Rice University synthesized the candidate materials into real samples. The experimental team then confirmed that both compounds exhibited superconductivity, providing proof that the machine learning-guided discovery process works.
Future Impact
"Superconductive materials that can operate at room temperature would forever change the way we consume energy," explained Törmä. Professor Päivi Törmä from Aalto University leads the SuperC consortium. She and a team of physicists formed this global collaboration in 2023 to use quantum physics in the fight against climate change. Their specific goal is to find a room-temperature superconductor by the year 2033.