Permanent Magnet
Permanent magnets are fundamental components with applications spanning diverse fields, from robotics and medical devices to material science and computational modeling. Current research focuses on improving the design and control of magnetic systems, including developing novel algorithms for precise manipulation of magnetic robots and objects, and employing machine learning models like neural networks and graph neural networks to optimize magnetic field interactions and predict material properties. These advancements are driving progress in areas such as minimally invasive surgery, advanced manufacturing, and the development of more efficient and accurate computational tools for simulating complex magnetic phenomena.
Papers
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