Ferromagnetic Particle

Ferromagnetic particles are being extensively investigated for their potential in diverse applications, ranging from advanced computing to microrobotics. Current research focuses on leveraging their magnetic properties for novel functionalities, such as developing energy-efficient non-volatile memory devices using domain wall manipulation and employing them as building blocks for autonomous micro-robots navigating complex environments. This involves the development and application of machine learning techniques, including graph neural networks for material property prediction and reinforcement learning for control systems, to optimize performance and efficiency. These advancements hold significant promise for creating more powerful and energy-efficient computing systems and enabling new possibilities in minimally invasive medical procedures and targeted drug delivery.