Mapping the Space of Quasisymmetric Stellarators Using Optimized Near-Axis Expansion

Data supporting a paper on stellarator design for fusion energy. The dataset likely contains parameters from an optimized near-axis expansion method used to map quasisymmetric configurations. It was created by Matt Landreman of the University of Maryland, College Park.

Use Cases

• Analyze stellarator magnetic field configurations based on quasisymmetry parameters.
• Validate near-axis expansion optimization results against other stellarator models.
• Train machine learning models to predict stellarator performance based on design parameters.

Strengths

• Associated with a specific, peer-reviewed research paper.
• Focuses on a specialized and active area of fusion energy research.

Limitations

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

Provenance

Source

Matt Landreman, University of Maryland, College Park

Collection Method

Likely generated via computational optimization of near-axis expansion equations.