Amir K Ziabari Senior R&D Staff Data Scientist Contact ziabariak@ornl.gov All Publications Scalable in situ non-destructive evaluation of additively manufactured components using process monitoring, sensor fusion, and machine learning Data-Driven Optimization of the Processing Window for 316H Components Fabricated Using Laser Powder Bed Fusion Report Outlining Computed Tomography Strategy and Microscopy Approach to Qualifying AM 316 Materials Reducing Artifacts in BF and HAADF-STEM Images of Pt/C Fuel Cells using MBIR-ARAR Investigation of Nanoparticle Degradation in Hydrogen Fuel Cell Systems through Automated Electron Microscopy Enabling rapid X-ray CT characterisation for additive manufacturing using CAD models and deep learning-based reconstruction Observation of spatter-induced stochastic lack-of-fusion in laser powder bed fusion using in situ process monitoring Physics guided machine learning for multi-material decomposition of tissues from dual-energy CT scans of simulated breast models with calcifications Simurgh: A Framework for Cad-Driven Deep Learning Based X-Ray CT Reconstruction A general synthesis of single atom catalysts with controllable atomic and mesoporous structures High Throughput Deep Learning-Based X-ray CT Characterization for Process Optimization in Metal Additive Manufacturing Model-based reconstruction for enhanced x-ray CT of dense tri-structural isotropic particles Algorithm-Driven Advances for Scientific CT Instruments: From model-based to deep learning-based approaches High Resolution X-Ray CT Reconstruction of Additively Manufactured Metal Parts using Generative Adversarial Network-based Domain Adaptation in AI-CT Accurate and Accelerated Neuromorphic Network Design Leveraging A Bayesian Hyperparameter Pareto Optimization Approach... Convolutional neural network based non-iterative reconstruction for accelerating neutron tomography * Convolutional Neural Network Based Non-Iterative Reconstruction for Accelerating NeutronTomography Beam Hardening Artifact Reduction in X-Ray CT Reconstruction of 3D Printed Metal Parts Leveraging Deep Learning and CAD Model... Geometrical quasi-ballistic effects on thermal transport in nanostructured devices Report on Progress of Monitoring Techniques for Laser Powder Bed Additive Manufacturing of Metal Structures Method for Measurement of TRISO Kernel and Layer Volumes by X-ray Computed Tomography Report on Progress of correlation of in-situ and ex-situ data and the use of artificial intelligence to predict defects Development of Monitoring Techniques for Binderjet Additive Manufacturing of Silicon Carbide Structures Far-Field Thermal Imaging Below Diffraction Limit... A Two-Tier Convolutional Neural Network for Combined Detection and Segmentation in Biological Imagery Pagination First page « First Previous page ‹‹ Page 1 Current page 2 Page 3 Next page ›› Last page Last » Key Links Google Scholar ORCID LinkedIn
News National lab collaboration enables faster, safer inspection of nuclear reactor components, materials
