693.932 PEOPLE
| 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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Steinbichler, Georg
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (8/8 displayed)
- 2023Polymers / Optimizing the Process of Spot Welding of Polycarbonate-Matrix-Based Unidirectional (UD) Thermoplastic Composite Tapescitations
- 2023Modeling the anisotropic squeeze flow during hot press consolidation of thermoplastic unidirectional fiber-reinforced tapescitations
- 2022Polymers / Improving layer adhesion of co-extruded polymer sheets by inducing interfacial flow instabilitiescitations
- 2022Polymers / A novel multi-region, multi-phase, multi-component-mixture modeling approach to predicting the thermodynamic behaviour of thermoplastic composites during the consolidation processcitations
- 2022A Novel Multi-Region, Multi-Phase, Multi-Component-Mixture Modeling Approach to Predicting the Thermodynamic Behaviour of Thermoplastic Composites during the Consolidation Processcitations
- 2021Polymers / A simulation-data-based machine learning model for predicting basic parameter settings of the plasticizing process in injection moldingcitations
- 2020Polymer Engineering and Science / Theoretical background and automation approach for a novel measurement method for determining dynamic solubility limits of supercritical fluids in injection foam moldingcitations
- 2004Polycarbonate microfoams with a smooth surface and higher notched impact strengthcitations
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