| 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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Wejrzanowski, Tomasz
Warsaw University of Technology
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (27/27 displayed)
- 2023Recycling electronic scrap to make molten carbonate fuel cell cathodescitations
- 2022Effect of annealing on the mechanical and corrosion properties of 316L stainless steel manufactured by laser powder bed fusioncitations
- 2021Design of SiC-Doped Piezoresistive Pressure Sensor for High-Temperature Applicationscitations
- 2021Supporting ionic conductivity of Li2CO3/K2CO3 molten carbonate electrolyte by using yttria stabilized zirconia matrixcitations
- 2021Elastic dipole tensors and relaxation volumes of point defects in concentrated random magnetic Fe-Cr alloyscitations
- 2020Metallic foam supported electrodes for molten carbonate fuel cellscitations
- 2020Metallic foam supported electrodes for molten carbonate fuel cellscitations
- 2018Multi-modal porous microstructure for high temperature fuel cell applicationcitations
- 2018Investigation of the relationship between morphology and permeability for open-cell foams using virtual materials testingcitations
- 2018Dual ionic conductive membrane for molten carbonate fuel cellcitations
- 2018Temperature influence on six layers samaria doped ceria matrix impregnated by lithium/potassium electrolyte for Molten Carbonate Fuel Cellscitations
- 2018Microstructure design of electrodes for high temperature fuel cell applications
- 2018Improving a Molten Carbonate Fuel Cell Matrix Strength By Fiber Reinforcing
- 2017Copper-Carbon Nanoforms Composites – Processing, Microstructure and Thermal Propertiescitations
- 2017Development of Molten Carbonate Fuel Cells at Warsaw University of Technologycitations
- 2017Status report on high temperature fuel cells in Poland – Recent advances and achievementscitations
- 2017Modeling of Size Effects in Diffusion Driven Processes at Nanoscale - Large Atomic and Mesoscale Methodscitations
- 2017Design of Reservoir Recognition Technique Component - Open Porosity in Non-Polarizing Electrodes
- 2017Optimization of the Microstructure of Molten Carbonate Fuel Cell Anodecitations
- 2017Incorporation of the Pore Size Variation to Modeling of the Elastic Behavior of Metallic Open-Cell Foamscitations
- 2016Numerical simulations of epitaxial growth in MOVPE reactor as a tool for aluminum nitride growth optimization
- 2016Design of open-porous materials for high-temperature fuel cells
- 2016Structural and mechanical aspects of multilayer graphene addition in alumina matrix composites–validation of computer simulation model
- 2014Effect of grain size on the melting point of confined thin aluminum filmscitations
- 2010Atomic ordering in nano-layered FePt: Multiscale Monte Carlo simulationcitations
- 2009Description of the homogeneity of material microstructures: using computer-aided analysiscitations
- 2008Atomic ordering in nano-layered L1<inf>0</inf> Ab binaries: Multiscale Monte-Carlo simulations
Places of action
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article
Modeling of Size Effects in Diffusion Driven Processes at Nanoscale - Large Atomic and Mesoscale Methods
Abstract
The results of the studies presented here are devoted to understanding of microstructure effect on the processes and properties driven by diffusion. The role of various interfaces (intergranular, phase, free surface), as the high-energy defects, is underlined and investigated with special attention. The methodology relevant to analyses of the microstructural processes is first briefly presented. The capability and limitations of classical molecular dynamics, mesoscale Monte Carlo and cellular automaton techniques are described. Two examples of the diffusion driven processes analyzed at various length and time scale are shown: namely, grain growth in nanometallic materials and melting of thin embedded films. The modeling results are also accompanied with experimental studies. Thanks to application of numerical methods, models of relevant processes were proposed, which enabled to provide quantitative relationships between microstructure and the process kinetics. Such relationships can be later used for design of optimized materials for wide range of applications.