This project aims to develop an AI-based predictive tool to optimize the performance and efficiency of electrical machines. By leveraging machine learning, the tool will model and predict the behavior of soft magnetic materials under various conditions, ensuring improved machine reliability, reduced losses, and enhanced sustainability. It integrates material science, electrical engineering, and AI for groundbreaking advancements in energy-efficient technologies.
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