Conference Tools for 2026 TMS Annual Meeting & Exhibition

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Meeting

2026 TMS Annual Meeting & Exhibition

Symposium

Artificial Intelligence Applications in Integrated Computational Materials Engineering (AI-ICME)

Presentation Title

Toward an Interactive AI-Enabled Platform for Critical Materials Reduction: From Forecasting to Processing

Author(s)

Georgia Leigh, Darian Smalley, Jonathan Galati, Emily F. Holcombe, Elaf A. Anber, Sebastian Lech, Brian DeCost, Howie Joress, Bruce Ravel, Anna Langham, Jason Hattrick-Simpers, Elizabeth Ann Pogue, Christopher Stiles, Nam Q. Le, Mitra L. Taheri

On-Site Speaker (Planned)

Mitra L. Taheri

Abstract Scope

Critical raw materials (CRMs) drive U.S. economy, national security, and technology, from high performance magnets and aerospace parts. Current alloy design-use oversimplifies metrics, relying too heavily on single benchmarks, such as the Hirschman Index. These metrics do little to inform materials discovery and processing. Here we present a multi-stream criticality assessment platform accounting for global sourcing, processing, national security, and economic indices. For specific use cases in magnetic electronics and structural alloys, we reveal the utility in our robust criticality assessment for a future of critically lean materials. By coupling the assessment with AI/ML methods for material discovery and closed loop, autonomous processing and characterization, we reveal a reduction in criticality through rare earth replacement and elemental reuse. Finally, we discuss our AI-enabled “dashboard” in the context of the growth of generative AI methods, as well as a benchmark of this system against simple economic analysis.

Proceedings Inclusion?

Planned:

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