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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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Schiøtz, Jakob
Technical University of Denmark
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (32/32 displayed)
- 2024Interpretability of high-resolution transmission electron microscopy imagescitations
- 2024Interpretability of high-resolution transmission electron microscopy imagescitations
- 2024Beam induced heating in electron microscopy modeled with machine learning interatomic potentialscitations
- 2023Quantifying noise limitations of neural network segmentations in high-resolution transmission electron microscopycitations
- 2023Quantifying noise limitations of neural network segmentations in high-resolution transmission electron microscopycitations
- 2023Reconstructing the exit wave of 2D materials in high-resolution transmission electron microscopy using machine learningcitations
- 2023Reconstructing the exit wave of 2D materials in high-resolution transmission electron microscopy using machine learningcitations
- 2022Machine-Learning Assisted Exit-wave Reconstruction for Quantitative Feature Extraction
- 2021Reconstructing the exit wave in high-resolution transmission electron microscopy using machine learningcitations
- 2021Electron beam effects in high-resolution transmission electron microscopy investigations of catalytic nanoparticles
- 2021Initiation and Progression of Anisotropic Galvanic Replacement Reactions in a Single Ag Nanowire:Implications for Nanostructure Synthesiscitations
- 2021Initiation and Progression of Anisotropic Galvanic Replacement Reactions in a Single Ag Nanowirecitations
- 2020In Situ Study of the Motion of Supported Gold Nanoparticles
- 2017Accuracy of surface strain measurements from transmission electron microscopy images of nanoparticlescitations
- 2017New Platinum Alloy Catalysts for Oxygen Electroreduction Based on Alkaline Earth Metalscitations
- 2017New Platinum Alloy Catalysts for Oxygen Electroreduction Based on Alkaline Earth Metalscitations
- 2017Nanocrystalline metals: Roughness in flatlandcitations
- 2016Exploring the Lanthanide Contraction to Tune the Activity and Stability of Pt
- 2016Exploring the Lanthanide Contraction to Tune the Activity and Stability of Pt
- 2016Correlation between diffusion barriers and alloying energy in binary alloyscitations
- 2016Pt x Gd alloy formation on Pt(111): Preparation and structural characterizationcitations
- 2015Controlling the Activity and Stability of Pt-Based Electrocatalysts By Means of the Lanthanide Contraction
- 2010Computer simulations of nanoindentation in Mg-Cu and Cu-Zr metallic glassescitations
- 2010Computer simulations of nanoindentation in Mg-Cu and Cu-Zr metallic glassescitations
- 2007Simulations of boundary migration during recrystallization using molecular dynamicscitations
- 2007Simulations of boundary migration during recrystallization using molecular dynamicscitations
- 2007An interatomic potential for studying CuZr bulk metallic glassescitations
- 2006Atomistic simulation study of the shear-band deformation mechanism in Mg-Cu metallic glassescitations
- 2004Simulation of Cu-Mg metallic glass: Thermodynamics and structurecitations
- 2004Atomistic simulations of Mg-Cu metallic glasses: Mechanical propertiescitations
- 2004Simulations of intergranular fracture in nanocrystalline molybdenumcitations
- 2003A maximum in the strength of nanocrystalline copper
Places of action
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article
Interpretability of high-resolution transmission electron microscopy images
Abstract
<p>High-resolution electron microscopy is a well-suited tool for characterizing the nanoscale structure of materials. However, the interaction of the sample and the high-energy electrons of the beam can often have a detrimental impact on the sample structure. This effect can only be alleviated by decreasing the number of electrons to which the sample is exposed but will come at the cost of a decreased signal-to-noise ratio in the resulting image. Images with low signal to noise ratios are often challenging to interpret as parts of the sample with a low interaction with the electron beam are reproduced with very low contrast. Here we suggest simple measures as alternatives to the conventional signal-to-noise ratio and investigate how these can be used to predict the interpretability of the electron microscopy images. We test the models on a sample consisting of gold nanoparticles supported on a cerium dioxide substrate. The models are evaluated based on series of images acquired at varying electron dose.</p>