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Ferromagnetism01:31

Ferromagnetism

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Materials like iron, nickel, and cobalt consist of magnetic domains, within which the magnetic dipoles are arranged parallel to each other. The magnetic dipoles are rigidly aligned in the same direction within a domain by quantum mechanical coupling among the atoms. This coupling is so strong that even thermal agitation at room temperature cannot break it. The result is that each domain has a net dipole moment. However, some materials have weaker coupling, and are ferromagnetic at lower...
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AI-accelerated discovery of altermagnetic materials.

Ze-Feng Gao1,2, Shuai Qu2, Bocheng Zeng1

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Researchers developed an AI search engine to discover new altermagnetic materials. This AI successfully identified 50 novel altermagnetic materials, including four i-wave types, advancing materials science for future technologies.

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Area of Science:

  • Condensed Matter Physics
  • Materials Science
  • Computational Materials Science

Background:

  • Altermagnetism is a distinct magnetic phase with unique properties, but its study is limited by the scarcity of known materials.
  • Discovering new altermagnetic materials is crucial for understanding altermagnetism and developing next-generation information technologies.

Purpose of the Study:

  • To develop an automated approach for discovering novel altermagnetic materials.
  • To expand the library of known altermagnetic materials with diverse electronic properties.

Main Methods:

  • An AI search engine utilizing a graph neural network was developed to learn material crystal structure features.
  • A classifier was fine-tuned with limited positive samples to predict altermagnetism probability.
  • First-principles electronic structure calculations were used for confirmation.

Main Results:

  • 50 new altermagnetic materials were discovered, including metals, semiconductors, and insulators.
  • The discovered materials exhibit diverse electronic structures, enabling properties like the anomalous Hall and Kerr effects, and topological properties.
  • Four novel i-wave altermagnetic materials were identified for the first time.

Conclusions:

  • The AI search engine significantly outperforms human experts in discovering altermagnetic materials.
  • The newly discovered materials offer a wide range of properties for potential applications in advanced technologies.
  • This AI-driven approach accelerates the discovery of materials with targeted properties.