Special Issue Information

Magnetoactive elastomers (MAEs) are an emerging class of multifunctional smart materials composed of elastomeric matrices embedded with micro-sized soft or hard magnetic particles, allowing for tunable mechanical and actuation properties under external magnetic fields. Their unique ability to adapt in real time makes them highly promising for advanced engineering applications, particularly in adaptive vibration control and soft robotics. In vibration control, MAEs offer field-dependent stiffness and damping modulation, enabling adaptive mitigation of vibrations in aerospace, automotive, and structural systems. Meanwhile, in soft robotics, MAEs enable programmable actuation and shape morphing, paving the way for bio-inspired robots with enhanced flexibility and responsiveness. The growing interest in MAEs has led to significant advancements in material design, modeling techniques, and application-driven innovations. This Special Issue aims to bring together cutting-edge research on the synthesis, characterization, modeling, and practical applications of MAEs. We welcome original research and review articles on topics including, but not limited to:
• Material design, fabrication and characterization: Development of novel MAE compositions, fabrication techniques and experimental characterization methods.
• Theoretical modeling and simulation: Computational and analytical approaches for understanding magneto-mechanical coupling, nonlinear behavior, and field-induced responses.
• Adaptive vibration control: Development of semi-active vibration isolation and absorption systems.
• Soft robotics and morphing structures: Development of MAE-based actuators/grippers, artificial muscles, and biomimetic systems.
• Intelligent control and real-time tuning: Development of AI-driven and closed-loop feedback control strategies for MAE-based systems.

By providing a platform for the latest advancements, this Special Issue will contribute to the fundamental understanding and technological progress of MAEs in smart engineering applications.

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