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variability in their composition and microstructure, which results in variability in their mechanical, thermal, and diffusion properties. Therefore, predictive modeling of the performance of these composites is
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from the physics and mechanics of the underlying multi-phase microstructure. An integrated numerical-experimental approach is generally adopted for this goal. A state-of-the-art computing infrastructure
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, damage, fracture), which emerges from the physics and mechanics of the underlying multi-phase microstructure. An integrated numerical-experimental approach is generally adopted for this goal. A state-of
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implant microstructures. Implement and test topology optimization strategies for designing architected implants subject to multiple objectives (for instance maximum strenght and fatigue life). Collaborate
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modelling of pavement structures. The section’s state-of-the-art experimental and computational facilities support research from chemical and microstructural characterisation (FTIR, DVS, DSC) to full-scale
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), and work in close collaboration with the teams at the Max Planck Institute of Microstructure Physics (Prof. Xinliang Feng) and at the Dresden University of Technology (Prof. Thomas Heine). About the ERC
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microstructural imaging techniques. The research has been published in a wide spectrum of leading academic journals, including the Lancet Neurology, Alzheimer’s & Dementia, Neurology, Radiology, Cerebral Cortex