AI-The Dawn of a New Era in Materials Engineering
AI in materials engineering accelerates discovering and
optimizing materials by analyzing large datasets and predicting
properties. Key steps include gathering and cleaning data,
selecting relevant features, and training AI models. Applications
range from finding new materials to improving manufacturing
and predicting material failures, enhancing efficiency and
sustainability. Challenges include ensuring high-quality data,
collaborating across disciplines, and managing ethical issues.
Overall, AI transforms materials science, making processes
faster and more innovative.
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