Amir K Ziabari R&D Staff Data Scientist Contact ziabariak@ornl.gov | 865.576.2371 All Publications YOLO2U-Net: Detection-guided 3D instance segmentation for microscopy Reduction kinetics of hematite powder using argon/hydrogen plasma with prospects for near net shaping of sustainable iron Digital polycrystalline microstructure generation using diffusion probabilistic models Creep deformation and cavitation in an additively manufactured Al-8.6Cu-0.4Mn-0.9Zr (wt%) alloy Reconstruction of 3D Concrete Microstructures Combining High-Resolution Characterization and Convolutional Neural Network for Image Segmentation A mesoscale 3D model of irradiated concrete informed via a 2.5 U-Net semantic segmentation Self-supervised learning of spatiotemporal thermal signatures in additive manufacturing using reduced order physics models an... Machine Learning Enabled Sensor Fusion for In-Situ Defect Detection in L-PBF Deep Learning Based Workflow for Accelerated Industrial X-Ray Computed Tomography Neural network-based single material beam-hardening correction for X-ray CT in Additive Manufacturing Scalable in situ non-destructive evaluation of additively manufactured components using process monitoring, sensor fusion, and machine learning 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... 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 mod... 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... Accurate and Accelerated Neuromorphic Network Design Leveraging A Bayesian Hyperparameter Pareto Optimization Approach... High Resolution X-Ray CT Reconstruction of Additively Manufactured Metal Parts using Generative Adversarial Network-based Dom... Convolutional neural network based non-iterative reconstruction for accelerating neutron tomography *... Convolutional Neural Network Based Non-Iterative Reconstruction for Accelerating NeutronTomography... Pagination Current page 1 Page 2 Next page ›› Last page Last » Key Links Google Scholar ORCID LinkedIn