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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Rovinelli, Andrea
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (7/7 displayed)
- 2018Combining Experiments and Models via a Bayesian Network Approach to Predict Short Fatigue Crack Growth
- 2018Predicting the 3D fatigue crack growth rate of short cracks using multimodal data via Bayesian network: in-situ experiments and crystal plasticity simulationscitations
- 2018Using machine learning and a data-driven approach to identify the small fatigue crack driving force in polycrystalline materialscitations
- 2017Microstructurally-short crack growth driving force identification: combining DCT, PCT, crystal plasticity simulation and machine learning technique
- 2017Assessing reliability of fatigue indicator parameters for small crack growth via a probabilistic frameworkcitations
- 2017A General Probabilistic Framework Combining Experiments and Simulations to Identify the Small Crack Driving Force
- 2016Microstructurally-Short Crack Growth Driving Force Identification: Combining DCT, PCT, Crystal Plasticity Simulations and Machine Learning Technique
Places of action
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