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Author Jenkinson, K.; Liz-Marzan, L.M.; Bals, S. pdf  url
doi  openurl
  Title Multimode electron tomography sheds light on synthesis, structure, and properties of complex metal-based nanoparticles Type A1 Journal article
  Year (down) 2022 Publication Advanced materials Abbreviated Journal Adv Mater  
  Volume 34 Issue 36 Pages 2110394-19  
  Keywords A1 Journal article; Engineering sciences. Technology; Electron microscopy for materials research (EMAT)  
  Abstract Electron tomography has become a cornerstone technique for the visualization of nanoparticle morphology in three dimensions. However, to obtain in-depth information about a nanoparticle beyond surface faceting and morphology, different electron microscopy signals must be combined. The most notable examples of these combined signals include annular dark-field scanning transmission electron microscopy (ADF-STEM) with different collection angles and the combination of ADF-STEM with energy-dispersive X-ray or electron energy loss spectroscopies. Here, the experimental and computational development of various multimode tomography techniques in connection to the fundamental materials science challenges that multimode tomography has been instrumental to overcoming are summarized. Although the techniques can be applied to a wide variety of compositions, the study is restricted to metal and metal oxide nanoparticles for the sake of simplicity. Current challenges and future directions of multimode tomography are additionally discussed.  
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  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Wos 000831332200001 Publication Date 2022-04-19  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0935-9648 ISBN Additional Links UA library record; WoS full record; WoS citing articles  
  Impact Factor 29.4 Times cited 10 Open Access OpenAccess  
  Notes The authors thank the financial support of the European Research Council (ERC-AdG-2017 787510, ERC-CoG-2019 815128) and of the European Commission (EUSMI, Grant 731019 and ESTEEM3, Grant 823717). Approved Most recent IF: 29.4  
  Call Number UA @ admin @ c:irua:189616 Serial 7087  
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