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learning system figuring out how to solve a task, possibly classifying images of cats and dogs; now imagine a physical material doing the same thing – without any computer involved! In our group, we strive
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functions by incorporating suitable materials? If so, what are the limits in energy and speed? Can you train such active metasurfaces to realize all-optical neural network functions? We envision using novel
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techniques that you combine with a state-of-the-art electromagnetic solver, and you will show how these can be used to find optimal, sensitive and robust designs, within the constraints on material and
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to derive characteristic materials properties and feature sizes in 3D from the collected data sets. The project ranges from studies of simple model systems to complex structures like nanosheet transistors
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-made complex matter, with research in 4 interconnected themes: nanophotonics, nanophotovoltaics, designer matter, and biophysics. AMOLF leverages these insights to create novel functional materials, and
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at will. The CL microscope is then operated as a quantum instrument with well-prepared initial electron states that may be entangled with materials excitations. This enables studies of optical excitations
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candidates with a strong background in chemistry, physics, materials science, or engineering with an interest in self-assembly phenomena. Excellent candidates with training in any area of science or