FeRh Nanopillar Phase Boundary Motion and Memristance Data

Experimental data associated with a study on electrically induced phase boundary motion in gradient-doped FeRh nanopillars. The dataset likely contains measurements of resistance changes and phase boundary positions under applied electrical currents. The data was produced by Rowan C. Temple at the University of Leeds.

Use Cases

• Modeling memristive behavior based on resistance changes in the nanopillar.
• Simulating phase boundary motion driven by spin injection.
• Training models for neuromorphic computing applications based on the described memristive properties.
• Analyzing the relationship between electrical current and magnetic phase transition in nanostructures.

Strengths

• Data is associated with a specific, peer-reviewed scientific study published on paperswithcode.
• Focuses on a novel phenomenon of current-driven phase boundary motion in 300 nm diameter nanopillars.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

University of Leeds

Collection Method

Experimental measurements from nanopillar devices, likely involving electrical transport and magnetic characterization.