Physics-guided AI reconstructs hidden patterns inside ultrathin magnets from external fields
Researchers have developed a physics-guided artificial intelligence (AI) method to reconstruct hidden magnetic patterns within ultrathin magnets from external fields. This breakthrough could aid in designing faster and more energy-efficient computers by providing insights into nanoscale magnetic materials, which are currently difficult to study due to limitations of modern microscopes that only measure the magnetic field outside these materials.
Researchers have developed a physics-guided artificial intelligence (AI) method to reconstruct hidden magnetic patterns within ultrathin magnets from external fields. This breakthrough could aid in designing faster and more energy-efficient computers by providing insights into nanoscale magnetic materials, which are currently difficult to study due to limitations of modern microscopes that only measure the magnetic field outside these materials.
Sources
- Phys.org — Physics-guided AI reconstructs hidden patterns inside ultrathin magnets from external fields
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