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Author |
Title |
Year |
Publication |
Volume |
Times cited |
Additional Links |
Links |
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De Backer, A.; Van Aert, S.; Faes, C.; Arslan Irmak, E.; Nellist, P.D.; Jones, L. |
Experimental reconstructions of 3D atomic structures from electron microscopy images using a Bayesian genetic algorithm |
2022 |
N P J Computational Materials |
8 |
|
UA library record; WoS full record; WoS citing articles |
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Lobato, I.; Friedrich, T.; Van Aert, S. |
Deep convolutional neural networks to restore single-shot electron microscopy images |
2024 |
N P J Computational Materials |
10 |
|
UA library record; WoS full record |
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Goris, B.; De Beenhouwer, J.; de Backer, A.; Zanaga, D.; Batenburg, J.; Sanchez-Iglesias, A.; Liz-Marzan, L.; Van Aert, S.; Sijbers, J.; Van Tendeloo, G.; Bals, S. |
Investigating lattice strain in Au nanodecahedrons |
2016 |
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UA library record |
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Friedrich, T.; Yu, C.-P.; Verbeek, J.; Pennycook, T.; Van Aert, S. |
Phase retrieval from 4-dimensional electron diffraction datasets |
2021 |
Proceedings
T2 – IEEE International Conference on Image Processing (ICIP), SEP 19-22, 2021, Electr. network |
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UA library record; WoS full record; WoS citing articles |
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Zhang, Z.; Lobato, I.; Brown, H.; Jannis, D.; Verbeeck, J.; Van Aert, S.; Nellist, P. |
Generalised oscillator strength for core-shell electron excitation by fast electrons based on Dirac solutions |
2023 |
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UA library record |
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Hugenschmidt, M.; Jannis, D.; Kadu, A.A.; Grünewald, L.; De Marchi, S.; Perez-Juste, J.; Verbeeck, J.; Van Aert, S.; Bals, S. |
Low-dose 4D-STEM tomography for beam-sensitive nanocomposites |
2023 |
ACS materials letters |
6 |
|
UA library record; WoS full record |
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Grünewald, L.; Chezganov, D.; De Meyer, R.; Orekhov, A.; Van Aert, S.; Bogaerts, A.; Bals, S.; Verbeeck, J. |
Supplementary Information for “In-situ Plasma Studies using a Direct Current Microplasma in a Scanning Electron Microscope” |
2023 |
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UA library record |
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Cioni, M.; Delle Piane, M.; Polino, D.; Rapetti, D.; Crippa, M.; Arslan Irmak, E.; Pavan, G.M.; Van Aert, S.; Bals, S. |
Data for Sampling Real‐Time Atomic Dynamics in Metal Nanoparticles by Combining Experiments, Simulations, and Machine Learning |
2024 |
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UA library record |
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