| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Manke, Ingo
Helmholtz-Zentrum Berlin für Materialien und Energie
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (26/26 displayed)
- 2024R‐Vine Copulas for Data‐Driven Quantification of Descriptor Relationships in Porous Materialscitations
- 2024Opportunities and Challenges of Calendering Sulfide‐Based Separators for Solid‐State Batteriescitations
- 2023Roadmap for focused ion beam technologiescitations
- 2023Roadmap for focused ion beam technologiescitations
- 2023Torsion of a rectangular bar: Complex phase distribution in 304L steel revealed by neutron tomography
- 2023Unveiling the impact of cross-linking redox-active polymers on their electrochemical behavior by 3D imaging and statistical microstructure analysiscitations
- 2023Spectral neutron tomography
- 20223D microstructure characterization of polymer battery electrodes by statistical image analysis based on synchrotron X-ray tomographycitations
- 2022Temperature dependence in Bragg edge neutron transmission measurementscitations
- 2022Phosphonated graphene oxide-modified polyacrylamide hydrogel electrolytes for solid-state zinc-ion batteriescitations
- 2022Quantification of Hydrogen in Metals Applying Neutron Imaging Techniques
- 2022Fabrication and characterization of porous mullite ceramics derived from fluoride-assisted Metakaolin-Al(OH)3 annealing for filtration applications
- 2021Lithium deposition in single-ion conducting polymer electrolytescitations
- 2021Stochastic 3D microstructure modeling of anodes in lithium-ion batteries with a particular focus on local heterogeneitycitations
- 2021Hierarchical Structuring of NMC111-Cathode Materials in Lithium-Ion Batteries: An In-Depth Study on the Influence of Primary and Secondary Particle Sizes on Electrochemical Performance
- 2020Performance and behavior of LLZO-based composite polymer electrolyte for lithium metal electrode with high capacity utilizationcitations
- 2020Hierarchical Structuring of NMC111-Cathode Materials in Lithium-Ion Batteries: An In-Depth Study on the Influence of Primary and Secondary Particle Sizes on Electrochemical Performancecitations
- 2020X‐Ray‐Computed Radiography and Tomography Study of Electrolyte Invasion and Distribution inside Pristine and Heat‐Treated Carbon Felts for Redox Flow Batteries
- 2020Hierarchical Structuring of NMC111-Cathode Materials in Lithium-Ion Batteriescitations
- 2019On a pluri-Gaussian model for three-phase microstructures, with applications to 3D image data of gas-diffusion electrodescitations
- 2019In Operando Neutron Radiography Analysis of a High-Temperature Polymer Electrolyte Fuel Cell Based on a Phosphoric Acid-Doped Polybenzimidazole Membrane Using the Hydrogen-Deuterium Contrast Method
- 2019X‐ray‐computed radiography and tomography study of electrolyte invasion and distribution inside pristine and heat‐treated carbon felts for redox flow batteries
- 2018Correlating Morphological Evolution of Li Electrodes with Degrading Electrochemical Performance of Li/LiCoO2 and Li/S Battery Systemscitations
- 2016Filling in the gaps
- 2015How mobile are protons in the structure of dental glass ionomer cements?citations
- 2013Methodology for Combined Neutron Diffraction and Bragg Edge Imagingcitations
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article
On a pluri-Gaussian model for three-phase microstructures, with applications to 3D image data of gas-diffusion electrodes
Abstract
<p>A pluri-Gaussian model for three-phase microstructures is presented and relationships between model parameters and microstructure characteristics are discussed. In particular, analytical formulas for two-point coverage probability functions in terms of covariance functions of the underlying Gaussian random fields are considered, which allow for an efficient estimation of model parameters. The model is fitted to tomographic image data obtained by FIB-tomography, which represent porous gas-diffusion electrodes consisting of silver and polytetrafluorethylene. The considered type of electrode is used as oxygen depolarized cathode for the production of chlorine. In order to fit the microstructure model, the covariance functions of the Gaussian random fields are parameterized, which leads to a stochastic microstructure model with five parameters. It is shown that most microstructure characteristics of tomographic image data are well reproduced by the model despite the low number of model parameters. Finally, limitations of the model with respect to the fit of continuous phase size distributions are discussed. Combining stochastic microstructure modeling with numerical simulation of effective macroscopic properties will allow in future work for a model-based investigation of microstructure-property relationships for the considered gas-diffusion electrodes.</p>