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 Creep deformation and cavitation in an additively manufactured Al-8.6Cu-0.4Mn-0.9Zr (wt%) alloy 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 Reconstruction of 3D Concrete Microstructures Combining High-Resolution Characterization and Convolutional Neural Network for Image Segmentation Self-supervised learning of spatiotemporal thermal signatures in additive manufacturing using reduced order physics models an... A mesoscale 3D model of irradiated concrete informed via a 2.5 U-Net semantic segmentation 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 Reducing Artifacts in BF and HAADF-STEM Images of Pt/C Fuel Cells using MBIR-ARAR... Report Outlining Computed Tomography Strategy and Microscopy Approach to Qualifying AM 316 Materials 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 NeutronTomography... Convolutional neural network based non-iterative reconstruction for accelerating neutron tomography *... Pagination Current page 1 Page 2 Next page ›› Last page Last » Key Links Google Scholar ORCID LinkedIn
