FusionMatDB: Fusion Materials Irradiation Effects Database, 1990–2024

FusionMatDB is the first publicly accessible, ML-ready database of fusion materials irradiation effects. It was compiled by Khalizo from 65 ORNL Fusion Materials Program semiannual progress reports spanning 1990 to 2024, plus the SDC-IC ITER Structural Design Criteria material library.

Use Cases

• Train machine learning models to predict material degradation based on irradiation effects data.
• Benchmark material performance for fusion reactor design criteria.
• Conduct meta-analysis of historical fusion materials testing results from the ORNL program.

Strengths

• First publicly accessible database of its kind, filling a gap in open-access fusion materials data.
• Compiled from 65 detailed progress reports covering a 34-year period (1990–2024).
• Integrates data from the SDC-IC ITER Structural Design Criteria library.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect temporal and source bias inherent to the specific ORNL program reports.

Provenance

Source

Oak Ridge National Laboratory (ORNL) Fusion Materials Program reports and ITER SDC-IC library.

Collection Method

Extracted from 65 semiannual progress reports.

Time Range

1990 to 2024

Freshness

Last updated 2026-04-13 22:48:05; freshness should be verified.