Recent Advances in Electromagnetic Non-Destructive Evaluation

Dear Colleagues,

"Recent Advances in Electromagnetic Non-Destructive Evaluation" comprehensively examines the groundbreaking developments reshaping this critical field. This review highlights the pivotal shift from conventional methods towards sophisticated technologies driven by artificial intelligence, advanced sensor design, and multi-physics modeling. Key focus areas include the application of machine learning for rapid defect identification and sizing, the emergence of flexible and conformable eddy current arrays for complex geometries, and enhanced computational techniques that improve resolution and quantification of subsurface flaws. These innovations significantly boost the capability to assess structural integrity, detect minute damage in advanced materials such as composites, and transition from schedule-based maintenance to predictive lifecycle management. The synthesis of these advances is essential for ensuring the safety, reliability, and longevity of critical infrastructure across aerospace, energy, and transportation industries. 

Dr. Pu Huang
Dr. Liuyong Chang
Dr. Xiangdong Ma
Guest Editors

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