Detection of Non-uniformity in Parameters for Magnetic Domain Pattern Generation by Machine Learning. (arXiv:2305.14764v2 [cond-mat.mtrl-sci] UPDATED)

We estimate the spatial distribution of heterogeneous physical parameters
involved in the formation of magnetic domain patterns of polycrystalline thin
films by using convolutional neural networks. We propose a method to obtain a
spatial map of physical parameters by estimating the parameters from patterns
within a small subregion window of the full magnetic domain and subsequently
shifting this window. To enhance the accuracy of parameter estimation in such
subregions, we employ large-scale models utilized for natural image
classification and exploit …

arxiv convolutional neural networks detection distribution domain films machine machine learning map networks neural networks parameters patterns spatial