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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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Breitbarth, Eric
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (10/10 displayed)
- 2024An iterative crack tip correction algorithm discovered by physical deep symbolic regressioncitations
- 2024Numerical Simulations of Stress Intensity Factors and Fatigue Life in L-Shaped Sheet Profilescitations
- 2024Next generation fatigue crack growth experiments of aerospace materialscitations
- 2023Werkstoffmechanische Prüfung der nächsten Generation: Rissfortschritt komplexer Rumpfstrukturen
- 2023Strategies to accelerate the design, discovery, development and deployment of materials in the era of the digital transformation
- 2023Fatigue crack growth in anisotropic aluminium sheets–phase-field modelling and experimental validationcitations
- 2022Towards three dimensional aspects of plasticity-induced crack closure: A finite element simulationcitations
- 2022Damage Mechanisms and Anisotropy of an AA7010-T7452 Open-Die Forged Alloy: Fatigue Crack Propagationcitations
- 2020High-stress fatigue crack propagation in thin AA2024-T3 sheet materialcitations
- 2019Anisotropes Rissausbreitungsverhalten einer freiformgeschmiedeten, hochfesten AA7010-T7652 Legierung
Places of action
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document
Strategies to accelerate the design, discovery, development and deployment of materials in the era of the digital transformation
Abstract
Traditional approaches to deploy new structural alloys require development cycles that can easily take a decade and are associated with significant economic risks. This is incompatible with current challenges such as global warming, scarcity of raw materials and rising energy costs, which are forcing humankind to rapidly develop sustainable solutions if the level of prosperity of future generations is to be, at least, maintained. To this purpose, innovative and efficient materials solutions along the entire value chain are an essential key.In this presentation, we will show how the digital transformation is enabling the acceleration of the design, discovery, development and deployment of new alloys for the transportation industry (land, air and space).The combination of artificial intelligence, robotic-based labs, high-throughput data generation/analysis, materials combinatorics, predictive simulations, collaborative virtual environments and multi-scale time-resolved experiments result in a suite of data-centric tools whose capabilities will be highlighted through specific use cases: the design of recycled-based alloys, the autonomous testing of metallic structures, the operando study of materials during 3D printing, and the rapid analysis of large experimental datasets. The overall aim is to demonstrate the transformative potential of data-centric approaches to shorten materials development cycles across a range of industrial sectors.