Pair distribution function computed tomography

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作者
Simon D. M. Jacques
Marco Di Michiel
Simon A. J. Kimber
Xiaohao Yang
Robert J. Cernik
Andrew M. Beale
Simon J. L. Billinge
机构
[1] School of Materials,Department of Chemistry
[2] University of Manchester,Department of Condensed Matter Physics and Materials Science
[3] Research Complex at Harwell,undefined
[4] Rutherford Appleton Laboratory,undefined
[5] Harwell,undefined
[6] Didcot,undefined
[7] European Synchrotron Radiation Facility,undefined
[8] 6 Rue Jules Horowitz,undefined
[9] Materials Science and Engineering,undefined
[10] Columbia University,undefined
[11] 1105 S.W. Mudd,undefined
[12] 4701,undefined
[13] University College London,undefined
[14] 20 Gordon Street,undefined
[15] Inorganic Chemistry and Catalysis,undefined
[16] Debye Institute for Nanomaterials Science,undefined
[17] Utrecht University,undefined
[18] Universiteitsweg 99,undefined
[19] Brookhaven National Laboratory,undefined
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摘要
An emerging theme of modern composites and devices is the coupling of nanostructural properties of materials with their targeted arrangement at the microscale. Of the imaging techniques developed that provide insight into such designer materials and devices, those based on diffraction are particularly useful. However, to date, these have been heavily restrictive, providing information only on materials that exhibit high crystallographic ordering. Here we describe a method that uses a combination of X-ray atomic pair distribution function analysis and computed tomography to overcome this limitation. It allows the structure of nanocrystalline and amorphous materials to be identified, quantified and mapped. We demonstrate the method with a phantom object and subsequently apply it to resolving, in situ, the physicochemical states of a heterogeneous catalyst system. The method may have potential impact across a range of disciplines from materials science, biomaterials, geology, environmental science, palaeontology and cultural heritage to health.
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