ULTERA: High Entropy Alloys Database with 6,200 Property Datapoints

The ULTERA database contains over 6,200 property datapoints corresponding to 2,485 unique high entropy alloys, collected from 455 source DOIs. It was developed by Adam M. Krajewski at Pennsylvania State University under the ARPA-E ULTIMATE program to facilitate rapid alloy discovery. Data is accessible via a high-performance API following FAIR principles and is designed for real-time integration with experiments and modeling.

Use Cases

• Predictive modeling of alloy properties like yield stress and hardness based on literature data.
• Generative modeling for discovering new high entropy alloy compositions.
• Analyzing creep behavior and ductility trends across collected alloy data.
• Validating computational materials science models against aggregated experimental results.

Strengths

• Over 6,200 property datapoints provide a substantial collection for analysis.
• Data is aggregated from 455 source DOIs, suggesting a broad literature review.
• The database architecture supports real-time integration with experimental and modeling methods.

Limitations

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

Provenance

Source

Pennsylvania State University

Collection Method

Collected from scientific literature (455 source DOIs).