Study of the Long-Range Exchange Coupling in Nd-Fe-B/Ti/Fe Multilayered Structure

Yazdani, Saeed; Phillips, Jared; Mosey, Aaron; Bsaibes, Thomas; Decca, Ricardo; Cheng, Ruihua

doi:10.3390/cryst14020119

Cited by 2 publications

(1 citation statement)

References 45 publications

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“…We constructed linear regression (LR), a random forest model (RFM), K-nearest neighbors (KNNs), decision tree (DT), and bagging and boosting models using Python in the PyCharm IDE. The performance of these models in terms of film thickness prediction was evaluated using metrics such as explained variance score (EV), mean absolute error (MAE), mean square error (MSE), mean absolute percentage error (MAPE), and the coefficient of determination R2 score [34][35][36][37].…”

Section: Model Training and Effectiveness Evaluationmentioning

confidence: 99%

Design and Study of Composite Film Preparation Platform

Li,

et al. 2024

Crystals

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This study aims to develop equipment for the preparation of composite films and successfully implement a film thickness prediction function. During the research process, we segmented the mechanical structure of the composite thin film preparation equipment into distinct modules, completed the structural design of the core module, and validated the stability of the process chamber, as well as the reasonableness of the strength and stiffness through simulation. Additionally, we devised a regression model for predicting the film thickness of composite films. The input features for the model included the sputtering air pressure, sputtering current, and sputtering time for magnetron sputtering process samples, as well as the evaporation volume and evaporation current for vacuum evaporation process samples. Simultaneously, the output features were the film thickness for both process samples. Subsequently, we established the designed composite film preparation equipment and conducted experimental verification. During the experiments, we successfully prepared Cr-Al composite films and utilized AFM for surface morphology analysis. The results confirmed the excellent performance of the Cr-Al composite films produced by the equipment, demonstrating the reliability of the equipment.

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Section: Model Training and Effectiveness Evaluationmentioning

confidence: 99%

Design and Study of Composite Film Preparation Platform

Li,

et al. 2024

Crystals

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Enhanced dipole-interaction in Nd-Dy-Fe-Co-B/Fe composite thick stacked trilayer

Li,

Zhao,

Liu

et al. 2024

Journal of Applied Physics

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It is crucial to better understand the magnetization reversal process between soft and hard magnets and to achieve a high maximum energy product in thick composite multilayers. In this study, we find that the exchange interactions dominate in soft–hard-magnetic composite bilayers, while dipole interactions are predominant in soft–hard-magnetic composite trilayers. Based on the first-order reversal curve, magnetization reversal models are developed for both the thick composite bilayer and trilayer. Dipole interactions play an important role in the long range, resulting in higher coercivity and remanence in the thick trilayer. A multilayer in a stacked trilayer structure is achieved, which is composed of thick films with a perpendicular magnetic anisotropy at a thickness of up to 16 μm. The enhanced dipole interactions lead to a remanent polarization of 1 T and a maximum energy product of 22.5 MGOe. This work contributes to the preparation of thick films with a high maximum energy product for applications in magnetic microelectromechanical systems.

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Study of the Long-Range Exchange Coupling in Nd-Fe-B/Ti/Fe Multilayered Structure

Cited by 2 publications

References 45 publications

Design and Study of Composite Film Preparation Platform

Design and Study of Composite Film Preparation Platform

Enhanced dipole-interaction in Nd-Dy-Fe-Co-B/Fe composite thick stacked trilayer

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