Visualization of the Magnetostriction Mechanism in Fe-Ga Alloy Single Crystal Using Dimensionality Reduction Techniques

Iron-gallium (Fe-Ga) alloys have emerged as promising materials due to their notable magnetostriction and ductility properties, making them potential candidates for use in advanced devices. To better understand the mechanism involved in the magnetostriction of Fe-Ga alloys, we have employed a combination of fast Fourier transform (FFT) and unsupervised machine learning techniques. Specifically, we have analyzed the features obtained from the principal component analysis (PCA) decomposition and found a strong correlation between these features and the physical components of the material. By separating the contribution of the magnetostriction in the extracted features, we were able to identify the region where the magnetostriction exhibits a significant increase. Our results show the complex relationship between the magnetostriction and the underlying physical structure of text Fe-Ga alloys and have the potential to inform the development of new materials with improved magnetostrictive properties.