With its globally unique research infrastructure, PSI offers unrivalled opportunities for cutting-edge national and international research.
The main areas of research at PSI
Recent highlights from our research
Pollution from aircraft
Researchers at PSI have measured how flight operations at Zurich Airport affect the atmospheric concentration of ultrafine particulate matter. In the process, they also found lubricating oil compounds in the air.
AiiDAlab: software that drives research forward
The software platform AiiDAlab was developed for computer simulations in materials research. It’s now becoming clear that it's also useful in many other areas, such as atmospheric research, controlling experiments and teaching.
Cooling without pumps: New measurement data for modular reactors
In an international collaboration, researchers at PSI have, for the first time, collected high-resolution measurement data from passive cooling systems for small modular nuclear reactors – an important basis for developing future generations of reactors.
Interested in doing research at PSI? Do you want to use our infrastructure for cutting-edge research?
Find out more about our large-scale research facilities and other research centres.
Research Centers & Labs
Our research and service centres conduct internationally recognised cutting-edge research in the natural and engineering sciences and make highly complex large research facilities available to science and industry for their own research projects.
Scientific Highlights from our Centers
Machine learning helps refine aerosol measurement characterization
Machine learning, applied to year-long observations from the Zeppelin Observatory on Svalbard, was capable of refining aerosol chemical characterization specifically those measured with state-of-the-art mass spectrometric techniques.
Surface-confined spiral state with a doubled magnetic period in Cu2OSeO3
Magnetism in solid materials originates from tiny atomic “compasses” called electron spins. In many magnetically ordered compounds, these spins simply align parallel or antiparallel to each other. However, in more complex systems they can arrange into ...
Towards digital twin of an in-situ experiment: a physics-enhanced machine-learning framework for inverse modelling of mass transport processes
Peng et al., 2026
As a prove of concept for experimental geochemistry, an advanced 3D numerical framework, here and after called Digital Twin (DT), of a diffusion experiment conducted at a synchrotron beamline, has been implemented using....
