Amir K Ziabari Senior R&D Staff Data Scientist Contact ziabariak@ornl.gov All Publications IN-SITU PROCESS MONITORING EVALUATION AND DEMONSTRATION USING ADVANCED CHARACTERIZATION WITH LASER POWDER BED SYSTEMS A Co-Registered In-Situ and Ex-Situ Dataset from Wire Arc Additive Manufacturing process A Three-dimensional Nanoscale View of Electrocatalyst Degradation in Hydrogen Fuel Cells Dual X-ray computed tomography-aided classification of melt pool boundaries and flaws in crept additively manufactured parts... Accelerating the Scalability of PrintCast structures using High Pressure Die Casting... 2.5D Super-Resolution Approaches for X-Ray Computed Tomography-Based Inspection of Additively Manufactured Parts FY23 Multi-Dimensional Data Correlation Platform: Unified Software Architecture for AMMT Data Management and Processing Process-Property-Performance Mapping of Additively Manufactured 316H Stainless Steel Components FY 2024 Multidimensional Data Correlation Platform: Unified Software Architecture For Advanced Materials And Manufacturing Technologies Data Management And Processing Evaluation of Directed Energy Deposition and Laser Powder Bed Fusion Nickel-Based Alloys Process Application Envelopes Based ... A Learnt Half-Quadratic Splitting-Based Algorithm for Fast and High-Quality Industrial Cone-beam CT Reconstruction Complete Optimization of LPBF Ni-Based Alloys Down-Selected from FY23 Candidate Materials Including, Thermodynamic Modeling, Sample Fabrication and Microstructure Characterization Oak Ridge National Laboratory's Strategic Research and Development Insights for Digital Twins Recent Advances on the Use of In Situ Monitoring as an Nondestructive Evaluation Tool for Additive Manufacturing Processes 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 and transformers 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 Data-Driven Optimization of the Processing Window for 316H Components Fabricated Using Laser Powder Bed Fusion Pagination Current page 1 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
