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Meeting TMS Specialty Congress 2026
Symposium 4th World Congress on Artificial Intelligence in Materials & Manufacturing (AIM 2026)
Presentation Title From ICME to Industry: A Platform Approach to the Discovery and Commercialization of Advanced Alloys
Author(s) Abu Anand
On-Site Speaker (Planned) Abu Anand
Abstract Scope Integrated computational materials engineering (ICME) has emerged as a cornerstone strategy for accelerating the discovery and commercialization of advanced materials. This work presents the Rapid Alloy Discovery (RAD) platform, which integrates Artificial Intelligence with multi-scale-based simulations to streamline the design of alloys and composites. RAD systematically navigates complex compositional and process parameter spaces to identify candidates satisfying engineering constraints. By bridging the gap between atomic-scale interactions and macroscopic component performance, the framework virtually validates materials to minimize experimental uncertainty. This approach not only optimizes performance metrics but also directly addresses critical industrial challenges. We discuss the application of this methodology in designing proprietary solutions that transition from digital concepts to market-ready products. Ultimately, this platform demonstrates a robust pathway for empowering industrial sectors with superior, sustainable materials, significantly compressing the timeline from discovery to commercialization.
Proceedings Inclusion? Undecided

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3D PRIMME for Learning Grain Growth Behaviors from Simulated and Experimental Datasets
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AI-Driven Alloy Design Framework for Cost-Effective Ultrahigh Strength Martensitic Steels
AI-Driven Raman–Terahertz System for Real-Time Measurement of Polymer Crystallinity
AI-Enabled Microstructure Characterization of an Al–Si–Mg–Cu Die-Casting Alloy Under 490 °C Solution Treatment
ANN Based Modeling of Thermodynamic, Transport, and Transformation Related Properties
Automated Analysis Using Deep Learning for Complex Low-Temperature Transformation Microstructures in Advanced High-Strength Steel
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Diagnosing Mechanical Assembly Discontinuities with LLMs
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European Infrastructure Activities on Management of Materials Data for Research, Development and Application of Advanced Materials
Evaluating and Optimizing Large Language Models in Manufacturing Contexts
Extracting Symbolic Relationships in Materials Science and Engineering
From ICME to Industry: A Platform Approach to the Discovery and Commercialization of Advanced Alloys
Generalist to Specialist Sequential Segmentation of Label-Free Low-Contrast Al-Si Solidification Video
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Neural Modeling of Anisotropic Yield Behavior Under Plasticity Constraints
Optimal Resource Utilization for Autonomous Lab Orchestrators
Phsyics-Guided Machine Learning for Predicting Multiscale Failure in Composites
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