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electric order parameters in multiferroic tunnel junctions (MFTJs) can unlock novel non-volatile, low-energy switching mechanisms. These emerging devices offer promising pathways toward next-generation
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magnetotransport). They will analyze device performance metrics such as output signal, switching speed, energy consumption, endurance, and scalability, and benchmark them against existing technologies (CMOS, MESO
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at the metropolitan scale • Integration of AI-based learning capabilities to refine all types of models studied • Consideration of environmental aspects in the comparative evaluation (positive impact and modal switch
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experience of the site and the services we are able to offer. More information These cookies are necessary for the website to function and cannot be switched off in our systems. They are usually only set in
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experience of the site and the services we are able to offer. More information These cookies are necessary for the website to function and cannot be switched off in our systems. They are usually only set in
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numerous studies have been carried out in the stationary states, deciphering at short ns and sub-ns timescale the impact of light on the magnetic properties and conversely, how magnetic switching can
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selection and switching in real time Integrate surrogate models with physics-based solvers, e.g. SOFA, FEniCSx, SOniCS, and clinical or phantom data Deploy models on ARSPECTRA hardware, including optimisation
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to random bifurcations, in which the flow regime switches spontaneously from one type of behavior to another over a random time period. A paradigmatic example is the Von Karman flows, where large scale