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Crystallographic investigation of novel materials using Neutron and X-ray diffraction and vibrational spectroscopy NIST only participates in the February and August reviews. Neutron and X-ray
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of industrially relevant material surfaces where the machine learning is driven by in situ XAS, XRF, and XRD measurements References: “On-the-fly segmentation approaches for x-ray diffraction datasets for metallic
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(EBSD); Neutron diffraction; X-ray diffraction (XRD); Steel; Automotive lightweighting; Retained austenite; Automotive manufacturing;
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dioxide storage; Carbon dioxide conversion; Neutron scattering; X-ray diffraction; amines; porous materials Eligibility citizenship Open to U.S. citizens level Open to Postdoctoral applicants Stipend Base
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characterization techniques to determine processing-structure-property relations that occur during processing, including scanning and transmission electron microscopy, thermal analysis, and x-ray diffraction
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research seeks to address these challenges through an integrated approach combining high-speed X-ray diffraction (XRD) and other synchrotron-based scattering experiments and advanced data analysis. Central
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facilities also include more traditional metallurgical instruments including light optical microscopy, scanning electron microscopy with EBSD and ECCI capabilities, TEM, and x-ray diffraction, as
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measurements during the build process. Material characterization includes SEM and TEM methods, lab and synchrotron X-ray diffraction, DSC, dilatometry, synchrotron X-ray and neutron residual stress measurements
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on the presence and distribution of such strains. Many other high-impact studies are possible using techniques (both in situ and ex situ ) such as TEM, AFM, SEM, and X-ray diffraction on single crystals
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diffraction, x-ray absorption spectroscopy for the quantification of chemical short range order, and automated microstructural image analysis. The simulation approaches of interest include machine learning