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the classical Rayleigh–Plateau instability. However, when vorticity and swirl are included, Erhard et al. (2022) have theoretically demonstrated the existence of nonlinear travelling-wave solutions
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dataset for the neural networks. A PINN model is developed for the potential flow model to obtain up to second-order nonlinear solutions for water wave interactions with marine structures. The developed
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multiple techniques such as onboard safety monitoring, operating environment adaptation and real-time robust learning of uncertainties and nonlinearities within the dynamical system. In this PhD, the aim is
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! This unique research opportunity revolves around the physics of distributed robotic systems, mechanical metamaterials, active matter, and embodied intelligence, combining table-top experiments and
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One of the current challenges in electric vehicle (EV) technology is the development of electromechanical braking (EMB) systems to replace conventional hydraulic brakes and to integrate them with
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systems – so-called neuromorphic computing. Magnonics offers a rich and tuneable platform for wave-based information processing, where interference and nonlinearity can naturally implement neuromorphic