| 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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Gumbsch, Peter
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (31/31 displayed)
- 2024Dealing with Missing Angular Sections in NanoCT Reconstructions of Low Contrast Polymeric Samples Employing a Mechanical In Situ Loading Stage
- 2023Dealing with missing angular sections in nanoCT reconstructions of low contrast polymeric samples employing a mechanical in situ loading stage
- 2023Materials fatigue prediction using graph neural networks on microstructure representationscitations
- 2022Correlated study of material interaction between capillary printed eutectic gallium alloys and gold electrodescitations
- 2022Micromechanical fatigue experiments for validation of microstructure-sensitive fatigue simulation modelscitations
- 2022A probabilistic model for forging flaw crack nucleation processes for heavy duty gas turbine rotor operationscitations
- 2022Lab-based in situ nanoCT as a tool for the 3D structural and mechanical characterization of metamaterials
- 2022Tribologically induced crystal rotation kinematics revealed by electron backscatter diffractioncitations
- 2021Towards programmable friction: control of lubrication with ionic liquid mixtures by automated electrical regulation
- 2021A deep learning approach for complex microstructure inferencecitations
- 2021Architecturing materials at mesoscale: some current trendscitations
- 2021Calibrating a fiber–matrix interface failure model to single fiber push-out tests and numerical simulationscitations
- 2020Towards programmable friction: control of lubrication with ionic liquid mixtures by automated electrical regulationcitations
- 2020Influence of interstitial oxygen on the tribology of Ti6Al4Vcitations
- 2020Repulsion leads to coupled dislocation motion and extended work hardening in bcc metalscitations
- 2018Atomic-scale simulation of structure and mechanical properties of Cu1-xAgx|Ni multilayer systemscitations
- 2016Microstructure-based description of the deformation of metals: Theory and applicationcitations
- 2016On the potential of tungsten–vanadium composites for high temperature application with wide-range thermal operation windowcitations
- 2016Multiscale Simulation of Plasticity in bcc Metalscitations
- 2016Anisotropic mechanical amorphization drives wear in diamondcitations
- 2016Dislocation injection in strontium titanate by femtosecond laser pulsescitations
- 2015Quantitative voxel-to-voxel comparison of TriBeam and DCT strontium titanate three-dimensional data setscitations
- 2015Potential-induced degradation in solar cells: Electronic structure and diffusion mechanism of sodium in stacking faults of siliconcitations
- 2015Atomistic aspects of fracturecitations
- 2013Combining x-ray diffraction contrast tomography and mesoscale grain growth simulations in strontium titanate: An integrated approach for the investigation of microstructure evolutioncitations
- 2012Interface Orientation Distribution during Grain Growth in Bulk SrTiO 3 Measured by Means of 3D X-Ray Diffraction Contrast Tomography
- 2010Atomically Smooth Stress-Corrosion Cleavage of a Hydrogen-Implanted Crystalcitations
- 2010Evolution of mechanical response and dislocation microstructures in small-scale specimens under slightly different loading conditionscitations
- 2008Atomistic Simulations of Dislocation - Crack Interactioncitations
- 2007Atomistic simulations of dislocation - Crack interactioncitations
- 2004Atomistic Study of Edge Dislocations in FCC Metals: Drag and Inertial Effectscitations
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article
Quantitative voxel-to-voxel comparison of TriBeam and DCT strontium titanate three-dimensional data sets
Abstract
S.1034-1046 ; Recently, techniques for the acquisition of three-dimensional tomographic and four-dimensional time-resolved data sets have emerged, allowing for the analysis of mm 3 volumes of material with nm-scale resolution. The ability to merge multi-modal data sets acquired via multiple techniques for the quantitative analysis of structure, chemistry and phase information is still a significant challenge. Large three-dimensional data sets have been acquired by time-resolved diffraction contrast tomography (DCT) and a new TriBeam tomography technique with high spatial resolution to address grain growth in strontium titanate. A methodology for combining three-dimensional tomographic data has been developed. Algorithms for the alignment of orientation reference frames, unification of sampling grids and automated grain matching have been integrated, and the resulting merged data set permits the simultaneous analysis of all tomographic data on a voxel-by-voxel and grain-by-grain basis. Quantitative analysis of merged data sets collected using DCT and TriBeam tomography shows that the spatial resolution of the DCT technique is limited near grain boundaries and the sample edge, resolving grains down to 10 mm diameter for the reconstruction method used. While the TriBeam technique allows for higher-resolution analysis of boundary plane location, it is a destructive tomography approach and can only be employed at the conclusion of a four-dimensional experiment. ; 48