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In this review article, the latest developments of the four most common additive manufacturing methods for metallic materials are reviewed, including powder bed fusion, direct energy deposition, binder jetting, and sheet lamination. In addition to the process principles, the microstructures and mechanical properties of AM-fabricated parts are comprehensively compared and evaluated. Finally, several future research directions are suggested.

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The magnetic microstructure of rolled‐up magnetic nanomembranes is revealed both theoretically and experimentally. Two types of nanomembranes are considered, one with a non‐magnetic spacer layer and the other without. Experimentally, by using different materials and tuning the dimensions of the rolled‐up nanomembranes, domain patterns consisting of spiral‐like and azimuthally magnetized domains are observed, which are in qualitative agreement with the theoretical predictions.

In this review article, the latest applications of machine learning (ML) in additive manufacturing (AM) field are reviewed. These applications, such as parameter optimization and anomaly detection, are classified into different types of ML tasks, including regression, classification, and clustering. The performance of various ML algorithms in these types of AM tasks are compared and evaluated. Finally, several future research directions are suggested.