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Author |
Joos, P.E.; Godoi, A.F.L.; de Jong, R.; de Zeeuw, J.; Van Grieken, R. |
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Title |
Sub-minute determination of BTEX in environmental samples using low pressure GC-ITMS |
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P3 Proceeding |
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Year |
2002 |
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P3 Proceeding; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation) |
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no |
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Call Number |
UA @ admin @ c:irua:38153 |
Serial |
8612 |
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Author |
Maenhaut, W.; Selen, A.; van Espen, P.; Van Grieken, R.; Winchester, J.W. |
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Title |
Sulfur and heavy metals over the Atlantic Ocean : comparison with other marine data |
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P3 Proceeding |
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Year |
1980 |
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P3 Proceeding; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation); Chemometrics (Mitac 3) |
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no |
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Call Number |
UA @ admin @ c:irua:117480 |
Serial |
8618 |
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Author |
Vincze, L.; Vekemans, B.; Adams, F. |
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Title |
Synchrotron computed X-ray fluorescence microtomography in environmental and earth sciences |
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P3 Proceeding |
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Year |
2003 |
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P3 Proceeding; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation) |
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no |
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Call Number |
UA @ admin @ c:irua:43187 |
Serial |
8632 |
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Author |
Vincze, L.; Vekemans, B.; Adams, F. |
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Title |
Synchrotron computed X-ray fluorescence tomography in environmental and earth sciences: radiation |
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P3 Proceeding |
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2004 |
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P3 Proceeding; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation) |
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no |
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Call Number |
UA @ admin @ c:irua:46497 |
Serial |
8633 |
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Author |
Gielis, J.; Ding, Y.; Shi, P. |
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Title |
Towards a geometrical theory of morphology and morphogenesis |
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P3 Proceeding |
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Year |
2016 |
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P3 Proceeding; Engineering sciences. Technology; Sustainable Energy, Air and Water Technology (DuEL) |
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no |
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Call Number |
UA @ admin @ c:irua:144548 |
Serial |
8677 |
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Author |
Mishra, V.K.; Dons, E.; Panis, L.I.; Frijns, E.; van Poppel, M.; Berghmans, P.; Bleux, N.; Wuyts, K.; Samson, R. |
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Title |
Understanding ultrafine particles dynamics within a one km urban grid |
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P3 Proceeding |
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2010 |
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P3 Proceeding; Sustainable Energy, Air and Water Technology (DuEL) |
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no |
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Call Number |
UA @ admin @ c:irua:88671 |
Serial |
8709 |
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Author |
de Gendt, S.; Kenis, K.; Mertens, P.W.; Heyns, M.M.; Claes, M.; Van Grieken, R.E.; Bailleul, A.; Knotter, M.; de Bokx, P.K. |
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Title |
Use of grazing emission XRF spectrometry for silicon wafer surface contamination measurements |
Type |
P3 Proceeding |
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Year |
1996 |
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P3 Proceeding; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation) |
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Call Number |
UA @ admin @ c:irua:14679 |
Serial |
8720 |
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Author |
Delalieux, F.; Sweevers, H.; Van Grieken, R. |
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Title |
Weathering mechanism of Pentelic marble under ambient atmospheric conditions derived from runoff studies |
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P3 Proceeding |
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Year |
1997 |
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P3 Proceeding; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation) |
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no |
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Call Number |
UA @ admin @ c:irua:18791 |
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8751 |
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Author |
Vleugels, G.; Van Grieken, R. |
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Title |
Weathering of bare and treated limestones under ambient conditions using runoff water analysis and microanalysis |
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P3 Proceeding |
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1992 |
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P3 Proceeding; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation) |
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no |
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Call Number |
UA @ admin @ c:irua:2865 |
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8752 |
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Author |
Van Grieken, R. |
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Title |
Working close to the detection limits: XRF |
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Minutes and reports |
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1998 |
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Minutes and reports; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation) |
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no |
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Call Number |
UA @ admin @ c:irua:20973 |
Serial |
8761 |
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Author |
Van Grieken, R.; Delalieux, F. |
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Title |
X-ray spectrometry for air pollution and cultural heritage research |
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P3 Proceeding |
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2004 |
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P3 Proceeding; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation) |
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no |
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Call Number |
UA @ admin @ c:irua:51259 |
Serial |
8783 |
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Author |
Nakazato, R.; Matsumoto, K.; Yamaguchi, N.; Cavallo, M.; Crocella, V.; Bonino, F.; Quintelier, M.; Hadermann, J.; Rosero-Navarro, N.C.; Miura, A.; Tadanaga, K. |
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Title |
CO2 Electrochemical Reduction with Zn-Al Layered Double Hydroxide-Loaded Gas-Diffusion Electrode (Supporting Information) |
Type |
Dataset |
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Year |
2023 |
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Dataset; Electron microscopy for materials research (EMAT) |
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Abstract |
Carbon dioxide electrochemical reduction (CO2ER) has attracted considerable attention as a technology to recycle CO2 into raw materials for chemicals using renewable energies. We recently found that Zn-Al layered double hydroxides (Zn-Al LDH) have the CO-forming CO2ER activity. However, the activity was only evaluated by using the liquid-phase CO2ER. In this study, Ni-Al and Ni-Fe LDHs as well as Zn-Al LDH were synthesized using a facile coprecipitation process and the gas-phase CO2ER with the LDH-loaded gas-diffusion electrode (GDE) was examined. The products were characterized by XRD, STEM-EDX, BF-TEM and ATR-IR spectroscopy. In the ATR-IR results, the interaction of CO2 with Zn-Al LDH showed a different carbonates evolution with respect to other LDHs, suggesting a different electrocatalytic activity. The LDH-loaded GDE was prepared by simple drop-casting of a catalyst ink onto carbon paper. For gas-phase CO2ER, only Zn-Al LDH exhibited the CO2ER activity for carbon monoxide (CO) formation. By using different potassium salt electrolytes affording neutral to strongly basic conditions, such as KCl, KHCO3 and KOH, the gas-phase CO2ER with Zn-Al LDH-loaded GDE showed 1.3 to 2.1 times higher partial current density for CO formation than the liquid-phase CO2ER. |
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001079191200001 |
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Approved |
Most recent IF: NA |
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Call Number |
UA @ admin @ c:irua:200933 |
Serial |
9010 |
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Author |
Annys, A.; Jannis, D.; Verbeeck, J. |
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Title |
Core-loss EELS dataset and neural networks for element identification |
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Dataset |
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Year |
2023 |
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Dataset; Electron microscopy for materials research (EMAT) |
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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) |
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Most recent IF: NA |
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Call Number |
UA @ admin @ c:irua:203391 |
Serial |
9015 |
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Author |
Zhang, Z.; Lobato, I.; Brown, H.; Jannis, D.; Verbeeck, J.; Van Aert, S.; Nellist, P. |
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Title |
Generalised oscillator strength for core-shell electron excitation by fast electrons based on Dirac solutions |
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2023 |
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Dataset; Electron microscopy for materials research (EMAT) |
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Inelastic excitation as exploited in Electron Energy Loss Spectroscopy (EELS) contains a rich source of information that is revealed in the scattering process. To accurately quantify core-loss EELS, it is common practice to fit the observed spectrum with scattering cross-sections calculated using experimental parameters and a Generalized Oscillator Strength (GOS) database [1]. The GOS is computed using Fermi’s Golden Rule and orbitals of bound and excited states. Previously, the GOS was based on Hartree-Fock solutions [2], but more recently Density Functional Theory (DFT) has been used [3]. In this work, we have chosen to use the Dirac equation to incorporate relativistic effects and have performed calculations using Flexible Atomic Code (FAC) [4]. This repository contains a tabulated GOS database based on Dirac solutions for computing double differential cross-sections under experimental conditions. We hope the Dirac-based GOS database can benefit the EELS community for both academic use and industry integration. Database Details: – Covers all elements (Z: 1-108) and all edges – Large energy range: 0.01 – 4000 eV – Large momentum range: 0.05 -50 Å-1 – Fine log sampling: 128 points for energy and 256 points for momentum – Data format: GOSH [3] Calculation Details: – Single atoms only; solid-state effects are not considered – Unoccupied states before continuum states of ionization are not considered; no fine structure – Plane Wave Born Approximation – Frozen Core Approximation is employed; electrostatic potential remains unchanged for orthogonal states when – core-shell electron is excited – Self-consistent Dirac–Fock–Slater iteration is used for Dirac calculations; Local Density Approximation is assumed for electron exchange interactions; continuum states are normalized against asymptotic form at large distances – Both large and small component contributions of Dirac solutions are included in GOS – Final state contributions are included until the contribution of the previous three states falls below 0.1%. A convergence log is provided for reference. Version 1.1 release note: – Update to be consistent with GOSH data format [3], all the edges are now within a single hdf5 file. A notable change in particular, the sampling in momentum is in 1/m, instead of previously in 1/Å. Great thanks to Gulio Guzzinati for his suggestions and sending conversion script. Version 1.2 release note: – Add “File Type / File version” information [1] Verbeeck, J., and S. Van Aert. Ultramicroscopy 101.2-4 (2004): 207-224. [2] Leapman, R. D., P. Rez, and D. F. Mayers. The Journal of Chemical Physics 72.2 (1980): 1232-1243. [3] Segger, L, Guzzinati, G, & Kohl, H. Zenodo (2023). doi:10.5281/zenodo.7645765 [4] Gu, M. F. Canadian Journal of Physics 86(5) (2008): 675-689. |
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UA @ admin @ c:irua:203392 |
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9042 |
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Reijniers, J.; Partoens, B.; Peremans, H. |
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Noise-resistant correlation-based alignment of head-related transfer functions for high-fidelity spherical harmonics representation |
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2023 |
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P3 Proceeding; Engineering sciences. Technology; Engineering Management (ENM); Condensed Matter Theory (CMT) |
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It is standard practice in virtual reality applications to synthesize binaural audio based on a discrete set of directionally-dependent head-related impulse responses (HRIRs). This set of HRIRs is often time-aligned in a pre-processing step, to allow for high-fidelity interpolation between HRIRs corresponding with neighbouring directions. The fidelity of this operation depends on the similarity of neighbouring aligned HRIRs. The pairwise quality of similarity makes it a difficult criterion to optimize globally and consequently one often resorts to alignment methods based on a specific feature that can be extracted for each HRIR separately, e.g., the first-onset of the peak or the group delay. However, such proxies for similarity are very sensitive to noise and therefore require a high signal-to-noise ratio, which makes them less suitable for processing HRIRs acquired outside an anechoic room. In this paper, we advance a novel alignment method, which maximizes the similarity – defined as the correlation between the full-length HRIRs – between neighbouring aligned HRIRs for all directions at once. We show that this correlation-based alignment procedure outperforms the first-onset alignment with regards to the fidelity of the spherical harmonics representation of both the spectral and interaural time difference (ITD) information, when tested on the KEMAR HRIR and six human HRIRs. Finally, we show that the correlation-based alignment is more robust to noise. |
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UA @ admin @ c:irua:199714 |
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9062 |
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Grünewald, L.; Chezganov, D.; De Meyer, R.; Orekhov, A.; Van Aert, S.; Bogaerts, A.; Bals, S.; Verbeeck, J. |
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Supplementary Information for “In-situ Plasma Studies using a Direct Current Microplasma in a Scanning Electron Microscope” |
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2023 |
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Dataset; Engineering sciences. Technology; Electron microscopy for materials research (EMAT); Plasma Lab for Applications in Sustainability and Medicine – Antwerp (PLASMANT) |
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Supplementary information for the article “In-situ Plasma Studies using a Direct Current Microplasma in a Scanning Electron Microscope” containing the videos of in-situ SEM imaging (mp4 files), raw data/images, and Jupyter notebooks (ipynb files) for data treatment and plots. Link to the preprint: https://doi.org/10.48550/arXiv.2308.15123 Explanation of the data files can be found in the Information.pdf file. The Videos folder contains the in-situ SEM image series mentioned in the paper. If there are any questions/bugs, feel free to contact me at lukas.grunewaldatuantwerpen.be |
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UA @ admin @ c:irua:203389 |
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9100 |
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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. |
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Data for Sampling Real‐Time Atomic Dynamics in Metal Nanoparticles by Combining Experiments, Simulations, and Machine Learning |
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2024 |
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Dataset; Engineering sciences. Technology; Electron microscopy for materials research (EMAT) |
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Even at low temperatures, metal nanoparticles (NPs) possess atomic dynamics that are key for their properties but challenging to elucidate. Recent experimental advances allow obtaining atomic‐resolution snapshots of the NPs in realistic regimes, but data acquisition limitations hinder the experimental reconstruction of the atomic dynamics present within them. Molecular simulations have the advantage that these allow directly tracking the motion of atoms over time. However, these typically start from ideal/perfect NP structures and, suffering from sampling limits, provide results that are often dependent on the initial/putative structure and remain purely indicative. Here, by combining state‐of‐the‐art experimental and computational approaches, how it is possible to tackle the limitations of both approaches and resolve the atomistic dynamics present in metal NPs in realistic conditions is demonstrated. Annular dark‐field scanning transmission electron microscopy enables the acquisition of ten high‐resolution images of an Au NP at intervals of 0.6 s. These are used to reconstruct atomistic 3D models of the real NP used to run ten independent molecular dynamics simulations. Machine learning analyses of the simulation trajectories allows resolving the real‐time atomic dynamics present within the NP. This provides a robust combined experimental/computational approach to characterize the structural dynamics of metal NPs in realistic conditions. |
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UA @ admin @ c:irua:205843 |
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9143 |
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Verbruggen, S.; Van Acker, M.; Furlan, C.; Mercelis, S.; Durt, A. |
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ATLANTES : the mATeriaL spAtial dimeNsion of wasTE flowS: visualising waste streams in the Province of Antwerp |
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2023 |
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Minutes and reports; Economics; Engineering sciences. Technology; Internet Data Lab (IDLab); Research Group for Urban Development; Henry van de Velde |
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UA @ admin @ c:irua:199837 |
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9187 |
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Lembrechts, J.; Clavel, J.; Lenoir, J.; Haider, S.; McDougall, K.; Nunez, M.; Alexander, J.; Barros, A.; Milbau, A.; Seipel, T.; Verbruggen, E.; Nijs, I. |
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Dataset: Roadside disturbance promotes plant communities with arbuscular mycorrhizal associations in mountain regions worldwide |
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2024 |
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Dataset; Plant and Ecosystems (PLECO) – Ecology in a time of change |
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Aim: We aimed to assess the impact of road disturbances on the dominant mycorrhizal types in ecosystems at the global level and how this mechanism can potentially lead to lasting plant community changes. Location: Globally distributed mountain regions Time Period: 2007-2018 Taxa studied: Plants (linked to their associated mycorrhizal fungi) Methods: We used a database of coordinated plant community surveys following mountain roads from 894 plots in 11 mountain regions across the globe in combination with an existing database of mycorrhizal-plant associations in order to approximate the relative abundance of mycorrhizal types in natural and disturbed environments. Results: Our findings show that roadside disturbance promotes the cover of plants associated with arbuscular mycorrhizal (AM) fungi. This effect is especially strong in colder mountain environments and in mountain regions where plant communities are dominated by ectomycorrhizal (EcM) or ericoid-mycorrhizal (ErM) associations. Furthermore, non-native plant species, which we confirmed to be mostly AM plants, are more successful in environments dominated by AM associations. Main Conclusions: These biogeographical patterns suggest that changes in mycorrhizal types could be a crucial factor in the worldwide impact of anthropogenic disturbances on mountain ecosystems. Indeed, roadsides foster AM-dominated systems, where AM-fungi might aid AM-associated plant species while potentially reducing the biotic resistance against invasive non-native species, often also associated with AM networks. Restoration efforts in mountain ecosystems will have to contend with changes in the fundamental make-up of EcM- and ErM plant communities induced by roadside disturbance. |
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UA @ admin @ c:irua:206132 |
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9198 |
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Vervoort, P.; Grymonprez, H.; Bouckaert, N.; Derijcke, D.; De Wael, W. |
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Ruimte en gezondheidsongelijkheid aanpakken : een kwestie van sociale rechtvaardigheid |
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2023 |
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H2 Book chapter; Sociology; Law; Centre for Research on Environmental and Social Change |
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De bijdrage gaat dieper in op de relatie tussen ruimte en gezondheidsongelijkheid, bespreekt gezondheidsongelijkheid vanuit een rechtenperspectief en illustreert een aantal praktijken waarin de aandacht voor ruimte en gezondheidsongelijkheid samenkomen. |
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978-2-509-04324-5 |
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UA @ admin @ c:irua:200534 |
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9225 |
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