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Jun 30, 2026

Machine Learning Confirms Two New Superconductors, Accelerating Search for Room-Temperature Materials

International researchers used machine learning combined with quantum physics to discover and confirm two new superconducting materials—YRu₃B₂ and LuRu₃B₂—that superconduct below 1 Kelvin. The AI-driven technique dramatically accelerates the search process for superconductors, potentially bringing scientists closer to the long-sought goal of room-temperature superconductivity.

Jun 30, 2026·8 sources
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Top claims

  • ▪LuRu₃B₂ was initially overlooked by high-throughput predictions due to weakly imaginary modes in its computed phonon spectrum
  • ▪Superconductivity in YRu₃B₂ and LuRu₃B₂ was verified using three independent measurement modalities: magnetization, specific heat, and electrical transport
  • ▪YRu₃B₂ exhibits a superconducting transition temperature of 0.81 K, confirmed through specific-heat measurements down to 60 mK

Subtopics

Materials science1

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