Amelinckx S, van Dyck D, van Landuyt J, Van Tendeloo G (1997) Handbook of microscopy: applications in materials science, solid-state physics and chemistry. Vch, Weinheim
Keywords: ME1 Book as editor or co-editor; Electron microscopy for materials research (EMAT); Vision lab
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Amin-Ahmadi B (2015) Adanced TEM investigation of the elementary plsticity mechanisms in palladium thin films at the nano scale. Antwerpen
Keywords: Doctoral thesis; Electron microscopy for materials research (EMAT)
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Amini M (2014) First-principles study of defects in transparent conducting oxide materials. Antwerpen
Keywords: Doctoral thesis; Condensed Matter Theory (CMT)
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Amiri-Aref M (2015) Utilization of magnetic nanoparticles and carbon nanotubes to fabrication electrochemical sensors for determination of some important biological and pharmaceutical compounds. 137 p
Keywords: Doctoral thesis; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation)
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Anaf W (2014) The influence of particulate matter on cultural heritage : chemical characterisation of the interaction between the atmospheric environment and pigments. 319 p
Keywords: Doctoral thesis; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation)
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“Virtual underpainting reconstruction from X-ray fluorescence imaging data”. Anitha A, Brasoveanu A, Duarte MF, Hughes SM, Daubechies I, Dik J, Janssens K, Alfeld M, , 1239 (2011)
Keywords: P1 Proceeding; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation)
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“Background aerosol concentrations at the Namib-Atlantic interface”. Annegarn HJ, Van Grieken RE, Winchester JW, Sellschop JPF, von Blottnitz F, (1979)
Keywords: P3 Proceeding; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation)
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Annys A, Jannis D, Verbeeck J (2023) Core-loss EELS dataset and neural networks for element identification
Abstract: We present a large dataset containing simulated core-loss electron energy loss spectroscopy (EELS) spectra with the elemental content as ground-truth labels. Additionally we present some neural networks trained on this data for element identification. The simulated dataset contains zero padded core-loss spectra from 0 to 3072 eV, which represents 107 core-loss edges through all 80 elements from Be up to Bi. The core-loss edges are calculated from the generalised oscillator strength (GOS) database presented by Zhang et al.[1] Generic fine structures using lifetime broadened peaks are used to imitate fine structure due to solid-state effects in experimental spectra. Generic low-loss regions are used to imitate the effect of multiple scattering. Each spectrum contains at least one edge of a given query element and possibly additional edges depending on samples drawn from The Materials Project [2]. The dataset contains for each of the 80 elements: 7000 training spectra, 1500 test spectra, 600 validation spectra and 100 spectra representing only the query element. This results in a total 736 000 labeled spectra. Code on how to – read the simulated data – transform HDF5 format to TFRecord format – train and evaluate neural networks using the simulated data – use the trained networks for automated element identification is available on GitHub at arnoannys/EELS_ID A full report on the simulation of the dataset and the training and evaluation of the neural networks can be found at: Annys, A., Jannis, D. & Verbeeck, J. Deep learning for automated materials characterisation in core-loss electron energy loss spectroscopy. Sci Rep 13, 13724 (2023). https://doi.org/10.1038/s41598-023-40943-7 [1] Zezhong Zhang, Ivan Lobato, Daen Jannis, Johan Verbeeck, Sandra Van Aert, & Peter Nellist. (2023). Generalised oscillator strength for core-shell electron excitation by fast electrons based on Dirac solutions (1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7729585 [2] Anubhav Jain, Shyue Ping Ong, Geoffroy Hautier, Wei Chen, William Davidson Richards, Stephen Dacek, Shreyas Cholia, Dan Gunter, David Skinner, Gerbrand Ceder, Kristin A. Persson; Commentary: The Materials Project: A materials genome approach to accelerating materials innovation. APL Mater 1 July 2013; 1 (1): 011002. [https://doi.org/10.1063/1.4812323](https://doi.org/10.1063/1.4812323)
Keywords: Dataset; Electron microscopy for materials research (EMAT)
DOI: 10.5281/ZENODO.8004912
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Anđ,elković, M (2019) O(N) numerical methods for investigating graphene heterostructures and moiré patterns. 207 p
Keywords: Doctoral thesis; Condensed Matter Theory (CMT)
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Arslan Irmak E (2022) Modelling three-dimensional nanoparticle transformations based on quantitative transmission electron microscopy. 169 p
Abstract: Nanomaterials are materials that have at least one dimension in the nanometer length scale, which corresponds to a billionth of a meter. When three dimensions are confined to the nanometer scale, these materials are referred to as nanoparticles. These materials are of great interest since they exhibit unique physical and chemical properties that cannot be observed for bulk systems. Due to their unique and often superior properties, nanomaterials have become central in the field of electronics, catalysis, and medicine. Moreover, they are expected to be one of the most promising systems to tackle many challenges that our society is facing, such as reducing the emission of greenhouse gases and finding effective treatments for cancer. The unique properties of nanomaterials are linked to their size, shape, structure, and composition. If one is able to measure the positions of the atoms, their chemical nature, and the bonding between them, it becomes possible to predict the physicochemical properties of nanomaterials. In this manner, the development of novel nanostructures can be triggered. However, the morphology and structure of nanomaterials are highly sensitive to the conditions for relevant applications, such as elevated temperatures or intense light illumination. Furthermore, any small change in the local structure at higher temperatures or pressures may significantly modify their performance. Hence, three-dimensional (3D) characterization of nanomaterials under application-relevant conditions is important in designing them with desired functional properties for specific applications. Among different structural characterization approaches, transmission electron microscopy (TEM) is one of the most efficient and versatile tools to investigate the structure and composition of nanomaterials since it can provide atomically resolved images, which are sensitive to the local 3D structure of the investigated sample. However, TEM only provides two-dimensional (2D) images of the 3D nanoparticle, which may lead to an incomplete understanding of their structure-property relationship. The most known and powerful technique for the 3D characterization of nanomaterials is electron tomography, where the images of a nanostructured material taken from different directions are mathematically combined to retrieve its 3D structure. Although these experiments are already state-of-the-art, 3D characterization by TEM is typically performed under ultra-high vacuum conditions and at room temperature. Such conditions are unfortunately not sufficient to understand transformations during synthesis or applications of nanomaterials. This limitation can be overcome by in situ TEM where external stimuli, such as heat, gas, and liquids, can be controllably introduced inside the TEM using specialized holders. However, there are some technical limitations to successful perform 3D in situ electron tomography experiments. For example, the long acquisition time required to collect a tilt series limits this technique when one wants to observe 3D dynamic changes with atomic resolution. A solution for this problem is the estimation of the 3D structure of nanomaterials from 2D projection images acquired along a single viewing direction. For this purpose, annular dark field scanning TEM (ADF STEM) imaging mode provides a valuable tool for quantitative structural investigation of nanomaterials from single 2D images due to its thickness and mass sensitivity. For quantitative analysis, an ADF STEM image is considered as a 2D array of pixels where relative variation of pixel intensity values is proportional to the total number of atoms and the atomic number of the elements in the sample. By applying advanced statistical approaches to these images, structural information, such as the number or types of atoms, can be retrieved with high accuracy and precision. The outcome can then be used to build a 3D starting model for energy minimization by atomistic simulations, for example, molecular dynamics simulations or the Monte Carlo method. However, this methodology needs to be further evaluated for in situ experiments. This thesis is devoted to presenting robust approaches to accurately define the 3D atomic structure of nanoparticles under application-relevant conditions and understand the mechanism behind the atomic-scale dynamics in nanoparticles in response to environmental stimuli.
Keywords: Doctoral thesis; Electron microscopy for materials research (EMAT)
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“The microanalysis of individual atmospheric aerosol particles by electron, proton and laser microprobe”. Artaxo P, Van Grieken R, Watt F, Jaksic M, (1990)
Keywords: P3 Proceeding; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation)
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Asapu R (2018) A study of plasmonic systems using Layer-by-Layer synthesized core-shell nanoparticles. 142 p
Keywords: Doctoral thesis; Engineering sciences. Technology; Sustainable Energy, Air and Water Technology (DuEL)
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Autrique D (2014) Multiphase modelling of a ns-laser-irradiated copper sample. Antwerpen
Keywords: Doctoral thesis; Plasma Lab for Applications in Sustainability and Medicine – Antwerp (PLASMANT)
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“Theory of the magneto-transport in a nonplanar two dimensional electron gas”. Badalian SM, Ibrahim IS, Peeters FM, , 327 (1997)
Keywords: P3 Proceeding; Condensed Matter Theory (CMT)
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Bafekry A (2020) Investigation of the effects of defects and impurities on nanostructures consisting of Group IV and V elements using First-principles calculations. 126 p
Keywords: Doctoral thesis; Condensed Matter Theory (CMT)
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“A self-consistent mathematical model of a hollow cathode glow discharge”. Baguer N, Bogaerts A, Gijbels R, , 157 (1999)
Keywords: P1 Proceeding; Plasma Lab for Applications in Sustainability and Medicine – Antwerp (PLASMANT)
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Bal K (2018) New ways to bridge the gap between microscopic simulations and macroscopic chemistry. Antwerpen
Keywords: Doctoral thesis; Plasma Lab for Applications in Sustainability and Medicine – Antwerp (PLASMANT)
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“Klassieke toetsing in de praktijk”. Bals S, Stes A, Celis V LannooCampus, Leuven, page 211 (2009).
Keywords: H2 Book chapter; Educational sciences; EduBROn; Electron microscopy for materials research (EMAT)
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Barbier M (2012) Transport properties of nanostructures and superlattices on single-layer and bilayer graphene. Antwerpen
Keywords: Doctoral thesis; Condensed Matter Theory (CMT)
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“Optically detected magnetophonon resonance in GaAs-GaAlAs heterojunctions”. Barnes DJ, Nicholas RJ, Watts M, Peeters FM, Wu XG, Devreese JT, Langerak CJ, Singleton J, Harris JJ, Foxon CT, (1991)
Keywords: P3 Proceeding; Condensed Matter Theory (CMT); Theory of quantum systems and complex systems
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“DART explained: how to carry out a discrete tomography reconstruction”. Batenburg KJ, Bals S, Sijbers J, Van Tendeloo G, , 295 (2008)
Keywords: P1 Proceeding; Electron microscopy for materials research (EMAT); Vision lab
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Batuk D (2014) Modular structures with lone electron pair cations. Antwerpen
Keywords: Doctoral thesis; Electron microscopy for materials research (EMAT)
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Batuk M (2013) New perovskite-based homologous series : AnBnO3n-2 and An+1BnO3n-1Cl. Antwerpen
Keywords: Doctoral thesis; Electron microscopy for materials research (EMAT)
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Bekaert J (2018) Ab initio description of multicomponent superconductivity in bulk to atomically thin materials. Antwerpen
Keywords: Doctoral thesis; Condensed Matter Theory (CMT)
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Bekaert J (2018) Ab initio description of multicomponent superconductivity in bulk to atomically thin materials. 290 p
Keywords: Doctoral thesis; Condensed Matter Theory (CMT)
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“Application of light beams with non-zero angular momentum in optical study of micrometer-size aerosol particles”. Bekshaev A, Kontush S, Popov A, Van Grieken R, , 288 (2001). http://doi.org/10.1117/12.428282
Keywords: P1 Proceeding; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation)
DOI: 10.1117/12.428282
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Belov I (2017) Plasma-assisted conversion of carbon dioxide
Keywords: Doctoral thesis; Plasma Lab for Applications in Sustainability and Medicine – Antwerp (PLASMANT)
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Bencs L, Horemans B, Van Grieken R, et al. (2012) Atmospheric deposition fluxes to the Belgian marine waters originating from ship emissions : SHIPFLUX : final report
Keywords: Minutes and reports; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation)
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“Determination of ultra-trace levels of palladium in environenmental samples by graphite furnace atomic spectrometry techniques”. Bencs L, Ravindra K, Van Grieken R page 173 (2006).
Keywords: H3 Book chapter; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation)
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“Platinum : environmental pollution and health effects”. Bencs L, Ravindra K, Van Grieken R page 580 (2011).
Keywords: H2 Book chapter; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation)
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