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Meeting 2025 TMS Annual Meeting & Exhibition
Symposium REWAS 2025: Automation and Digitalization in Recycling Processes
Presentation Title Supply Risk Aware Alloy Discovery and Design
Author(s) Mrinalini Mulukutla, Robert Robinson , Brent Vela, Danial Khatamsaz, Nhu Vu, Raymundo Arroyave
On-Site Speaker (Planned) Mrinalini Mulukutla
Abstract Scope The impact of materials decisions on technological, economic, and environmental risks is far-reaching making “Supply-Chain Aware Design Strategies” an imperative integration into the design and development platforms. Limited efforts have been concentrated on systematically mitigating the risks involved in sustainable supply chain management. Prediction of Supply chain indices can be complex in nature, involving multiple risks at several stages in the process leaving the development process vulnerable to numerous threats. In order to efficiently manage the risks associated, we present a risk-aware design approach to determine the overall supply risk for refractory alloy space in search of Pareto-optimal constraint-satisfying alloys for the desired applications. To assist along the process, we attempt to develop a trained model exclusively focused on the prediction of supply risk indices, leveraging existing language models, analyzing textual data, and extracting relevant information.
Proceedings Inclusion? Planned:
Keywords Computational Materials Science & Engineering, Sustainability, Other

OTHER PAPERS PLANNED FOR THIS SYMPOSIUM

AI Assistance to Global Mineral Resource Analysis and Visualization
Controlling Minor Element Phosphorus in Green Electric Steelmaking Using Neural Networks
Insights to Rare Earth Element Separation and Recovery through Molecular Dynamics Modeling
Metal extraction informatics: a conceptual framework for sustainable metals extraction
Optimizing Secondary Steel Production by Copper Contaminant Removal using Artificial Intelligence
Supply Risk Aware Alloy Discovery and Design
The Potential of Multidimensional Modelling Techniques for Advanced Process Control in Metallurgical Recycling Processes
Thermodynamic-based process simulation coupled to life cycle analysis: exploring pyrometallurgical processes to recycle end-of-life products

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