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Author Şentürk, D.G.; De Backer, A.; Van Aert, S. pdf  url
doi  openurl
  Title Element specific atom counting for heterogeneous nanostructures: Combining multiple ADF STEM images for simultaneous thickness and composition determination Type A1 Journal article
  Year 2024 Publication Ultramicroscopy Abbreviated Journal Ultramicroscopy  
  Volume 259 Issue Pages 113941  
  Keywords A1 Journal article; Electron microscopy for materials research (EMAT)  
  Abstract In this paper, a methodology is presented to count the number of atoms in heterogeneous nanoparticles based on the combination of multiple annular dark field scanning transmission electron microscopy (ADF STEM) images. The different non-overlapping annular detector collection regions are selected based on the principles of optimal statistical experiment design for the atom-counting problem. To count the number of atoms, the total intensities of scattered electrons for each atomic column, the so-called scattering cross-sections, are simultaneously compared with simulated library values for the different detector regions by minimising the squared differences. The performance of the method is evaluated for simulated Ni@Pt and Au@Ag core-shell nanoparticles. Our approach turns out to be a dose efficient alternative for the investigation of beam-sensitive heterogeneous materials as compared to the combination of ADF STEM and energy dispersive X-ray spectroscopy.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Wos 001205863200001 Publication Date 2024-02-19  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition (up)  
  ISSN 0304-3991 ISBN Additional Links UA library record; WoS full record  
  Impact Factor 2.2 Times cited Open Access OpenAccess  
  Notes This work was supported by the European Research Council (Grant 770887 PICOMETRICS to S. Van Aert). The authors acknowledge financial support from the Research Foundation Flanders (FWO, Belgium) through project fundings (G.0346.21N, GOA7723N, and EOS 40007495) and a postdoctoral grant to A. De Backer. S. Van Aert acknowledges funding from the University of Antwerp Research fund (BOF). Approved Most recent IF: 2.2; 2024 IF: 2.843  
  Call Number EMAT @ emat @c:irua:204353 Serial 8996  
Permanent link to this record
 

 
Author Stoops, T.; De Backer, A.; Lobato, I.; Van Aert, S. pdf  url
doi  openurl
  Title Obtaining 3D Atomic Reconstructions from Electron Microscopy Images Using a Bayesian Genetic Algorithm: Possibilities, Insights, and Limitations Type A1 Journal Article
  Year 2024 Publication Microscopy and Microanalysis Abbreviated Journal  
  Volume Issue Pages  
  Keywords A1 Journal Article; Electron Microscopy for Materials Science (EMAT) ;  
  Abstract The Bayesian genetic algorithm (BGA) is a powerful tool to reconstruct the 3D structure of mono-atomic single-crystalline metallic nanoparticles imaged using annular dark field scanning transmission electron microscopy. The number of atoms in a projected atomic column in the image is used as input to obtain an accurate and atomically precise reconstruction of the nanoparticle, taking prior knowledge and the finite precision of atom counting into account. However, as the number of parameters required to describe a nanoparticle with atomic detail rises quickly with the size of the studied particle, the computational costs of the BGA rise to prohibitively expensive levels. In this study, we investigate these computational costs and propose methods and control parameters for efficient application of the algorithm to nanoparticles of at least up to 10 nm in size.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Wos Publication Date 2024-10-02  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition (up)  
  ISSN 1431-9276 ISBN Additional Links  
  Impact Factor 2.8 Times cited Open Access  
  Notes European Research Council, 770887 ; Research Foundation Flanders, G034621N G0A7723N 40007495 ; FWO and F.R.S-FNRS; Flemish Government; Approved Most recent IF: 2.8; 2024 IF: 1.891  
  Call Number EMAT @ emat @ Serial 9270  
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Author Schrenker, N.J.; Braeckevelt, T.; De Backer, A.; Livakas, N.; Yu, C.-P.; Friedrich, T.; Roeffaers, M.B.J.; Hofkens, J.; Verbeeck, J.; Manna, L.; Van Speybroeck, V.; Van Aert, S.; Bals, S. url  doi
openurl 
  Title Investigation of the Octahedral Network Structure in Formamidinium Lead Bromide Nanocrystals by Low-Dose Scanning Transmission Electron Microscopy Type A1 Journal Article
  Year 2024 Publication Nano Letters Abbreviated Journal Nano Lett.  
  Volume 24 Issue 35 Pages 10936-10942  
  Keywords A1 Journal Article; Electron Microscopy for Materials Science (EMAT) ;  
  Abstract Metal halide perovskites (MHP) are highly promising semiconductors. In this study, we focus on FAPbBr3 nanocrystals, which are of great interest for green light-emitting diodes. Structural parameters significantly impact the properties of MHPs and are linked to phase instability, which hampers long-term applications. Clearly, there is a need for local and precise characterization techniques at the atomic scale, such as transmission electron microscopy. Because of the high electron beam sensitivity of MHPs, these investigations are extremely challenging. Here, we applied a low-dose method based on four-dimensional scanning transmission electron microscopy. We quantified the observed elongation of the projections of the Br atomic columns, suggesting an alternation in the position of the Br atoms perpendicular to the Pb–Br–Pb bonds. Together with molecular dynamics simulations, these results remarkably reveal local distortions in an on-average cubic structure. Additionally, this study provides an approach to prospectively investigating the fundamental degradation mechanisms of MHPs.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Wos Publication Date 2024-09-04  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition (up)  
  ISSN 1530-6984 ISBN Additional Links  
  Impact Factor 10.8 Times cited Open Access  
  Notes The authors acknowledge financial support from the Research Foundation-Flanders (FWO) through project fundings (G0A7723N) and a postdoctoral fellowship to N.J.S. (FWO Grants 1238622N and V413524N). The authors acknowledge financial support from iBOF-21-085 PERSIST. S.B. and S.V.A. acknowledge financial support from the European Commission by ERC Consolidator Grant 815128 (REALNANO) and Grant 770887 (PICOMETRICS). L.M. acknowledges financial support from the European Commission by ERC Advanced Grant 101095974 (NEHA). V.V.S. furthermore acknowledges the Research Fund of Ghent University (BOF) for its financial support. The computational resources and services used in this work were provided by VSC (Flemish Supercomputer Center), funded by the Research Foundation-Flanders (FWO), and the Flemish Government. Approved Most recent IF: 10.8; 2024 IF: 12.712  
  Call Number EMAT @ emat @ Serial 9273  
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