Machine learning accelerates discovery of new superconductors, bringing room-temperature goal closer
Summary
An international research team has demonstrated that machine learning, combined with quantum physics, can rapidly narrow down the vast number of possible material combinations to identify promising superconductors. The AI-driven approach has already led to the discovery of two new superconductors and could significantly accelerate the search for room-temperature superconductors, which would revolutionize energy transmission by allowing electricity to flow with zero resistance without requiring extreme cooling.
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Key quotes
· 1 pulledAccording to Aalto University Professor Päivi Törmä, who leads the SuperC consortium, the approach could dramatically speed the discovery of new superconductors.
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