Statistical Methods for Materials Science : The Data Science of Microstructure Characterization (Paperback)

1 Materials Science vs. Data Science 2 Emerging Digital Data Capabilities3 Cultural Differences 4 Forward Modeling 5 Inverse Problems and Sensing6 Model-Based Iterative Reconstruction for Electron Tomography7 Statistical reconstruction and heterogeneity characterization in 3-D biological macromolecular complexes8 Object Tracking through Image Sequences 9 Grain Boundary Characteristics10 Interface Science and the Formation of Structure11 Hierarchical Assembled Structures from Nanoparticles12 Estimating Orientation Statistics13 Representation of Stochastic Microstructures 14 Computer Vision for Microstructure Representation 15 Topological Analysis of Local Structure16 Markov Random Fields for Microstructure Simulation17 Distance Measures for Microstructures18 Industrial Applications19 Anomaly Testing20 Anomalies in Microstructures 21 Denoising Methods with Applications to Microscopy22 Compressed Sensing for Imaging Applications23 Dictionary Methods for Compressed Sensing 24 Sparse Sampling in Microscopy