NSUF 21-4358: Machine Learning on High-Throughput Databases of Irradiation Response and Corrosion Properties of Selected Compositionally Complex Alloys for Structural Nuclear Materials
Researchers will integrate high-throughput synthesis, irradiation, and characterization with atomistic and mesoscale simulation and machine learning to develop understanding and predictive models for irradiation response and corrosion properties of selected alloys. The focus will be on structural Compositionally Complex Alloys (four or more elements in a single-phase solid solution) relevant for high temperature nuclear applications.
Additional Info
| Field | Value |
|---|---|
| Abstract | Researchers will integrate high-throughput synthesis, irradiation, and characterization with atomistic and mesoscale simulation and machine learning to develop understanding and predictive models for irradiation response and corrosion properties of selected alloys. The focus will be on structural Compositionally Complex Alloys (four or more elements in a single-phase solid solution) relevant for high temperature nuclear applications. |
| Award Announced Date | 2021-11-02T12:39:16.36 |
| Awarded Institution | None |
| Facility | None |
| Facility Tech Lead | |
| Irradiation Facility | None |
| PI | Dane Morgan |
| PI Email | [email protected] |
| Project Type | RTE |
| RTE Number | 4358 |