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    Generative AI for Sustainable Product Design: A Technology Convergence Framework Integrating Multi‐Objective Optimisation and Smart Manufacturing

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    Mechatronics as Design Philosophy to Inspire Engineering Innovations

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    Mapping Microstructure: Manifold Construction for Accelerated Materials Exploration

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    A Computational Homogenization Framework for Predicting Properties from Multifield Processing Conditions in Polymer Matrix Particle Composites

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    Machine Learning Prediction and Experimental Validation of Externally Solidified Crystal Formation in Aluminum Die Casting Process

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    : An Agentic Approach to Transforming Unstructured Materials Science Literature into Structured Data

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    Expert-Grounded Automatic Prompt Engineering for Extracting Lattice Constants of High-Entropy Alloys from Scientific Publications Using Large Language Models

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    A Dual-Model Approach to Industrial Safety: Computer Vision for PPE Compliance and Hazard-Zone Monitoring in Steel Production

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    Implementation of Deep Learning-Based Segmentation for Quantitative Microstructure Analysis and 3D Reconstruction in Aluminum Alloys

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    Discovering Hidden Relationships of Alloy Properties with Manifold Learning

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    Correction: Physics-Informed Data-Driven Determination of Printability Maps of Industrial Alloys for Laser Powder Bed Fusion Process with Understandings from Numerical Modeling

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    Graph Neural Networks for Fast Prediction of Plastic Metal Deformation in Hot Forging

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    Mining Multimodal Fatigue Data Using Reasoning Foundation Models and Formalized Domain Knowledge

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    CrysText: A Generative AI Approach for Text-Conditioned Crystal Structure Generation Using LLM

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    The Performance, Feasibility, and Sustainability-Based Framework for Biomaterial Recommendation System for Packaging

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    A Predictive Framework for Informing Hot Isostatic Pressing of Additively Manufactured Niobium: Connecting Process, Microstructure, and Strength

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    Computationally Efficient Prediction of Molten Pool Size in Multi-track Laser Melting via Surrogate Modeling

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    Grain Structure Formation and Processability Windows in Laser Powder Bed Fusion-Processed BiTe

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    Physics-Informed Data-Driven Determination of Printability Maps of Industrial Alloys for Laser Powder Bed Fusion Process with Understandings from Numerical Modeling

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    Revolutionizing Scientific Figure Decoding: Benchmarking LLM Data Extraction Performance

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