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of these materials and structures. This approach enhances both predictive simulation and inverse design strategies, optimizing the composition and arrangement of materials in the 3D design space. Within
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for in vivo studies. Leveraging recent advances in microscopy and voltage indicators, we can now observe voltage signaling within different compartments of a single cell in live animals, enabling us to
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) for the future 6G-NTN where trade-offs around flexibility, scalability, autonomy and optimization are made with respect to the fact that the systems will execute in space. In addition, work is planned in path
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, extinctions, and environmental change; ● Running simulations and scenario analyses to explore how different discounting rules or time preferences shift optimal conservation choices; ● Fitting models
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-offs around flexibility, scalability, autonomy and optimization are made with respect to the fact that the systems will execute in space. In addition, work is planned in path-aware networking so that
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additional mechanical losses. Unlike conventional static devices, the vortex generators studied here adapt their shape and/or position naturally in response to flow conditions. This self-adaptative behavior
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. Empa is a research institution of the ETH Domain. In the Laboratory of Advanced Fibers, we are a multidisciplinary team of researchers working on different topics with particular focus on surface
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including modelling to determine the localization, distribution, and potential on/off-target effects of ONs in vivo. The final aim is to gain know-how on how to optimize formulations for different
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Welcome to Maastricht University! The world is changing fast, and we’re changing with it. At Maastricht University, your work makes a real difference – whether you’re exploring the future through
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each other. This necessitates a multidisciplinary approach bringing together optimization, machine learning and behavioral modeling methodologies. In FlexMobility we propose a holistic approach to design