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. The acquired and already existing database will be used to further develop ML models for the automated detection of clinically relevant markers. The goal is to develop the technique towards potential clinical
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in biosensing, control switches, signal amplifiers and modulators, and high-performance photocatalysis. The conventional plasmonic materials include noble metals, e.g. gold, which was extensively used
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. Empa is a research institution of the ETH Domain. In our research group, we design smart stimuli-responsive (nano)-materials that can be applied as diagnostic tools or as controlled drug delivery systems
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components, oxidation control, as well as the feasibility and application potential of multi-constituent nanopastes. This PhD project runs over 4 years with a final degree granted by ETH Zurich.