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Meeting

2026 TMS Annual Meeting & Exhibition

Symposium

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

Presentation Title

AlloyGPT 2.0: Develop A Self-Adaptive Multi-Agent Autonomous Framework for Additive Manufacturable Alloy Design

Author(s)

Bo Ni, S. Mohadeseh Taheri-Mousavi

On-Site Speaker (Planned)

Bo Ni

Abstract Scope

Additively manufactured (AM) components with integrated shape and optimized gradient composition will surpass conventional alloys in their structural performance. However, due to complex thermal history, the successful alloy design of each voxel often involves continuous knowledge integration, on-the-fly decision making, and iterative exploration and reflection, which go beyond some predefined workflows and are currently performed by human experts. To address such challenges, here we propose AlloyGPT 2.0, an autonomous multi-agent alloy design framework that can dynamically assemble the agent team and adjust the design workflow based on the given design task. Given AM alloy design challenges, our model automatically analyzes the task, generates adaptive agent experts in retrieving alloy knowledge, applying physics-based modeling toolboxes, organizing collaborations, and exploring the solutions via multiple rounds of experimental and numerical collaborations. Our framework may lay the foundation for achieving robust autonomous alloy designs by combining holistic and flexible designs.

Proceedings Inclusion?

Planned:

Keywords

Machine Learning, Additive Manufacturing, Modeling and Simulation

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