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, matrix composition, and (anisotropic) matrix architecture are influenced by the mechanical and geometric properties of their environment. These computational models can provide crucial mechanistic insights
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computationally. Second, the research will focus on developing a controlled generative AI system capable of integrating these ontological and geometric constraints. Diffusion models will be adapted through
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electrolysis have made large advances in terms of geometric surface area, current density and selectivity towards valuable products such as C2H4. To reach successful commercial deployment of CO2 to C2H4, we need
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the modelling required to control vibration propagation and radiated noise extremely complex. The Acoustic Black Hole (ABH) concept [1] appears as a promising approach in this context. It has been investigated in
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demonstrate that richer, uncertainty-aware environmental models lead to more capable and efficient autonomous underwater surveys. This PhD project will develop principled methods for fusing these heterogeneous