After their injection into the bloodstream, individual nanoparticles tend to form complex networks leading to unique interaction effects. Such coupling phenomena influence the properties used for their bio-medical application, i.e. magnetism for magnetic resonance imaging or optical spectra for photothermal cancer therapy. This can result in a false estimation of a diagnostic signal or an inefficient therapeutic intervention. In this project, we will investigate these effects both by computational and experimental approaches. We will firstly compute the properties of different particle networks and then relate these to their structural properties (network length/size/compactness…). The results will be compared to experimentally obtained data for verification.
After their injection into the bloodstream, individual nanoparticles tend to form complex networks leading to unique interaction effects. Such coupling phenomena influence the properties used for their bio-medical application, i.e. magnetism for magnetic resonance imaging or optical spectra for photothermal cancer therapy. This can result in a false estimation of a diagnostic signal or an inefficient therapeutic intervention. In this project, we will investigate these effects both by computational and experimental approaches. We will firstly compute the properties of different particle networks and then relate these to their structural properties (network length/size/compactness…). The results will be compared to experimentally obtained data for verification.
The goal of the project is the understanding and prediction of nanoparticle interaction effects on bio-medical applications.
The goal of the project is the understanding and prediction of nanoparticle interaction effects on bio-medical applications.
We seek a student with pronounced scientific curiosity and interest in transdisciplinary research. You can expect significant support and guidance from established scientists during the whole of your project. Work place is primarily at ETH Zurich. Please send your CV and motivation statement (2-3 sentences) to fabian.starsich@empa.ch
We seek a student with pronounced scientific curiosity and interest in transdisciplinary research. You can expect significant support and guidance from established scientists during the whole of your project. Work place is primarily at ETH Zurich. Please send your CV and motivation statement (2-3 sentences) to fabian.starsich@empa.ch