Data-Centric AI Tools for Advanced Polymer Engineering #sciencefather



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This work introduces the basic concepts and emerging tools of artificial intelligence used in polymer science, highlighting how machine learning, neural networks, data-driven modeling, and computational intelligence are transforming polymer design, synthesis, property prediction, and material optimization. It provides a foundational understanding of AI methodologies and demonstrates their role in accelerating innovation across polymer chemistry, physics, and engineering. 
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