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dc.contributor.authorWang, Ziyi
dc.date.accessioned2019-10-15T16:50:05Z
dc.date.available2019-10-15T16:50:05Z
dc.date.issued2019-08-30
dc.identifier.otherWang_cornell_0058O_10681
dc.identifier.otherhttp://dissertations.umi.com/cornell:10681
dc.identifier.otherbibid: 11050678
dc.identifier.urihttps://hdl.handle.net/1813/67693
dc.description.abstractPhase transformations are prevalent and play a profound role in energy density and rate capability in energy storage devices like batteries. Detecting the strain field at the nanoscale is one way to understand the phase transformation. Bragg Coherent diffractive imaging with phase retrieval algorithms is a possible candidate for imaging phase transformations. However, the current iterative algorithms fail to retrieve the images from X-ray data in the presence of large strains (~1%). By improving the phase retrieval algorithm, we show that Bragg coherent diffractive imaging of structural phase transformations in nanoparticles is possible. We verify our algorithm with reconstruction from simulated X-ray data.
dc.language.isoen_US
dc.subjectX-ray
dc.subjectphase transformation
dc.subjectMaterials Science
dc.subjectBCDI
dc.titleBragg Coherent X-Ray Diffractive Imaging of Coexisting Phases in Nanoparticles: A Simulation Study
dc.typedissertation or thesis
thesis.degree.disciplineMaterials Science and Engineering
thesis.degree.grantorCornell University
thesis.degree.levelMaster of Science
thesis.degree.nameM.S., Materials Science and Engineering
dc.contributor.chairSinger, Andrej
dc.contributor.committeeMemberKourkoutis, Lena Fitting
dcterms.licensehttps://hdl.handle.net/1813/59810
dc.identifier.doihttps://doi.org/10.7298/z4rk-aa59


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