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Full-Text Articles in Physical Sciences and Mathematics
Revealing The Three-Dimensional Magnetic Texture With Machine Learning Models, Shihua Zhao
Revealing The Three-Dimensional Magnetic Texture With Machine Learning Models, Shihua Zhao
Dissertations, Theses, and Capstone Projects
Revealing three-dimensional (3D) magnetic textures with vector field electron tomography (VFET) is essential in studying novel magnetic materials with topologically protected spin textures potentially being used in the next-generation semiconductor industry. In this dissertation, we use machine learning (ML) models to reconstruct 3D magnetic textures from electron holography (EH) data.
We can feed the EH data, a series of two-dimensional (2D) phasemaps, into a neural network (NN) architecture directly or feed the EH data into a conventional VFET and then feed the reconstructed results into a NN. Thus, perceptive NN, either a simple convolutional neural network (CNN) or Unet architecture, …
Interdisciplinary Studies Of Complex Network And Machine Learning And Its Applications, Shaojun Luo
Interdisciplinary Studies Of Complex Network And Machine Learning And Its Applications, Shaojun Luo
Dissertations, Theses, and Capstone Projects
In this dissertation, we introduce the concept of network-based statistical inference methods of two types: network structure inference and variable inference. For network structure inference, we introduce correlation matrix, graphical Lasso, network clustering and identify the influencer in the network. For variable inference, we also introduce from Bayesian network, to Random Markov Field and Ising Model, Boltzmann and Restricted Boltzmann machine and the algorithm of Belief Propagation. Last but not the least, we introduce the most widely used neural network family and its two main types: Convolutional Neural Network and Recurrent Neural Network.
In Chapter 3 we provide an example …