High-Throughput Discovery of Over 300 Stable 2D Altermagnetic Monolayers

A computational study predicts over 300 stable intrinsic two-dimensional altermagnetic monolayers. The dataset, authored by Wen-Ti Guo and last updated in May 2026, was generated by combining symmetry analysis, high-throughput computational screening, and first-principles calculations. It provides a foundation for designing low-power, high-speed spintronic devices.

Use Cases

• Screening candidate materials for spintronic applications based on predicted stability and magnetic properties.
• Studying strain-mediated tuning of spin-splitting waveforms and magnetic phase transitions.
• Analyzing the relationship between layer symmetry and anisotropic waveforms in altermagnets.
• Investigating the correlation between material structure and properties like electric polarization and anomalous Hall conductivity.

Strengths

• Over 300 stable material candidates predicted.
• Includes diverse anisotropic waveforms and layer symmetries.
• Allows for analysis of strain-mediated property tuning.
• Files are provided in multiple formats including CSV for structured data.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data is computationally predicted and requires experimental validation.

Provenance

Source

Wen-Ti Guo via figshare.

Collection Method

Generated via symmetry analysis, high-throughput computational screening, and first-principles calculations.

Freshness

Last updated 2026-05-11 08:46:48; freshness should be verified.