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Meeting 2021 TMS Annual Meeting & Exhibition
Symposium Characterization of Materials through High Resolution Imaging
Presentation Title AI-enabled High-throughput Three-dimensional Ptychographic Imaging
Author(s) Yi Jiang, Tao Zhou, Mirko Holler, Jeffrey Klug, Zhonghou Cai, Christian Roehrig, Mathew Cherukara
On-Site Speaker (Planned) Yi Jiang
Abstract Scope X-ray ptychography has become a standard technique for high-resolution imaging at nanoscale. In combination with tomography or laminography, the technique can extend to quantitative 3D characterization and can achieve sub-20 nm spatial resolution. The fourth-generation light source and novel scanning techniques further allow 3D ptychography to image large objects at millimeter or centimeter scale. However, the increasing data acquisition rates and data volumes also bring tremendous burdens on data storage and image reconstruction. Here we demonstrate that a supervised deep convolutional neural network named LaminoNN can retrieve an object’s structure directly from scanning diffraction patterns, replacing more computationally expensive ptychographic reconstruction. We apply LaminoNN to an experimental ptycho-laminography measurement, which includes ~400,000 diffraction patterns and thus provide adequate training data for the neural network to achieve high prediction accuracy. The projection images recovered by LaminoNN are then used in subsequent laminographic alignment and reconstruction to produce 3D sturcture at high-resolution.
Proceedings Inclusion? Planned:
Keywords Machine Learning, Characterization, Nanotechnology

OTHER PAPERS PLANNED FOR THIS SYMPOSIUM

Adaptive Machine for 3D Bragg Coherent Diffraction Imaging Reconstructions
AI-enabled High-throughput Three-dimensional Ptychographic Imaging
Confocal Bragg Ptychography for 3D Mapping of Bulk Specimens
Evaluation of TATB Crystal Morphology for Predicting Sensitivity Using X-ray Computed Tomography
Exploiting Machine Learning Techniques in X-ray Ptychography
Grain Orientation Mapping via Laue Peak Segregation
High Speed, High Resolution, High Temperature 3D Imaging of Spacecraft Materials during Atmospheric Entry Conditions
ID01 in Light of the ESRF-EBS
Image-based Simulation of Permeability and Image-to-Mesh Conversion of X-ray Tomographic Images of a Nickel Foam
Imaging Materials on the Run: Shedding Light on Fast Structural Processes Using Time-resolved Synchrotron X-ray Tomographic Microscopy
Imaging Phase Transitions of Quantum Materials with Bragg Coherent X-ray Diffraction
Improve Phase Retrieval Performance in Bragg CDI by Simultaneous Reconstruction of Multiple Diffraction Peaks
In Situ and Operando 3D Nano-imaging for Materials Science at the ESRF
Investigating the Early Life on Earth with Nanoscale X-ray Coherent Imaging
Laboratory and Synchrotron-based X-ray Tomographic Imaging during In Situ Loading of Materials
Magnetic Correlations and Time Fluctuations in Assemblies of Fe3O4 Nanoparticles Probed via X-rays
Megahertz X-ray Microscopy for Imaging High-speed Phenomena in Opaque Materials
Mesoscale Defect Dynamics in the Bulk with Time-resolved Dark-field X-ray Microscopy
Microstructural Characterization and Mechanical Behavior of a Meteorite Using Correlative Microscopy
Multi-peak Phase Retrieval for Coherent X-ray Diffraction Imaging at High Energies
Near-surface Optical Characterisation of Ion Implantation in Titanium Oxide Thin Films
Optimization Based Approach for 3D Alignment in X-ray Nano-tomography
Ptychographic Inversion with Deep Learning Network and Automatic Differentiation
Ptychographic X-ray Computed Tomography
Quantitative Data Analysis of Dynamic Tomography Data with Motion Artifacts
Retrieving the Full 3D Strain Tensor for Nanoscale Materials Science Applications at 34-ID-C
Study of Structure of Beam-sensitive Supported Nanoparticle Catalysts by Low-dose High Resolution Phase Contrast Imaging
The Fourth is Strong in These Ones!
Using Phase Field Simulations to Train Convolutional Neural Networks for Segmentation of Experimental Materials Imaging Datasets
Using the Rotation Vector Base Line Electron Back Scatter Diffraction (RVB-EBSD) Method to Characterize Single Crystal Cast Microstructures
X-ray Based Nanodiffraction to Study Strain in Materials for Nuclear Energy
X-ray Imaging of Three-dimensional Magnetic Systems and Their Dynamics

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