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Two New Superconductors Discovered with AI Assistance

Відкрито два нові надпровідники завдяки використанню штучного інтелекту. Photo: НВ — Техно

A Novel Method for Superconductor Discovery

July 8, 08:00

By merging machine learning algorithms with quantum physics techniques, an international team of researchers has unveiled a fresh strategy for identifying superconductors. This innovative approach led to the discovery of two new superconductors—YRu₃B₂ and LuRu₃B₂—which were later synthesized in a lab and experimentally confirmed to possess superconducting properties.

Most known superconductors only function at extremely low temperatures, limiting their practical use. These materials are employed in:

  • quantum computers;
  • medical scanners;
  • nuclear fusion reactors;
  • maglev trains.

However, according to Professor Päivi Törmä from Aalto University, who leads the SuperC consortium,

“superconductors that can operate at room temperature have the potential to revolutionize the energy sector.”
She further emphasized that
“replacing conventional conductors with them—for instance, in computers and data centers—would dramatically cut electricity consumption and the heat generated by the IT industry.”

The scientists used artificial intelligence to sift through a vast number of possible chemical element combinations and performed detailed quantum calculations to verify the properties of new materials. This research marks a significant step forward: over the decades, researchers have discovered more than 7,000 superconductors, yet only about 20 materials have been thoroughly analyzed theoretically. Törmä noted that “in the future, this will allow us to analyze not thousands or millions, but billions of potential materials, bringing scientists closer to creating a superconductor that works without cooling.”

The materials YRu₃B₂ and LuRu₃B₂ achieve superconductivity thanks to electrons forming flat bands within a kagome lattice. This finding could unlock new possibilities for technological progress across various fields.

The detection of new superconductors, along with the use of machine learning algorithms in their search, represents a key achievement in materials science. If researchers can sustain this momentum, it may lead to the development of superconductors that function at room temperature, fundamentally transforming approaches to energy and technology. Such breakthroughs could open up fresh opportunities in medical, industrial, and information sectors, reducing energy costs and boosting technological efficiency.

As researchers continue to explore the potential of superconductors, it is essential to note that a recent breakthrough achieved superconductivity at 151 Kelvin under normal pressure, marking a significant milestone in the field. This development complements the findings related to the newly discovered materials, highlighting the ongoing advancements in superconductivity research. For more insights on this remarkable achievement, check out how it sets a new record in the quest for practical superconductors here.