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Analytical methods for superresolution dislocation identification in dark-field X-ray microscopy
Authors:Brennan  Michael C  Howard  Marylesa  Marzouk  Youssef  Dresselhaus-Marais  Leora E
Affiliation:1.Department of Aeronautics and Astronautics, Center for Computational Science and Engineering, Massachusetts Institute of Technology, 77 Massachusetts Ave, Cambridge, MA, 02139, USA
;2.Experimental Operations, Nevada National Security Site, 232 Energy Way, North Las Vegas, NV, 89030, USA
;3.Department of Materials Science and Engineering, Stanford University, 476 Lomita Mall, Stanford, CA, 94305, USA
;4.Department of Photon Science, SLAC National Accelerator Laboratory, 2575 Sand Hill Rd, Menlo Park, CA, 94025, USA
;5.Physics Division, Lawrence Livermore National Laboratory, 7000 East Ave, Livermore, CA, 94550, USA
;
Abstract:Journal of Materials Science - We develop several inference methods to estimate the position of dislocations from images generated using dark-field X-ray microscopy (DFXM)—achieving...
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