The PSI Laboratory for Simulation and Modelling develops numerical and computational capabilities for advanced nuclear systems, advanced particle accelerators, reacting and non-reacting fluid dynamics.
Topical areas
The topical areas of the Laboratory for Simulation and Modelling covers a broad spectrum of scientific disciplines such as
Simulation: The third pillar of science
PSI researchers simulate and model large research facilities as well as experiments, for example, in the materials and biological sciences. Andreas Adelmann, head of PSI's Laboratory for Scientific Computing and Modelling, explains how they do it.
Modelling and simulation pay off
Researchers in PSI's Laboratory for Scientific Computing and Modelling solve the most complex problems through a combination of theory, modelling, and high-performance computing. With powerful computers, they simulate the smallest molecules or large research facilities.
Horizon 2020 project SAMOSAFER granted
The EU Horizon 2020 program granted 3.5 million Euros to the research and innovation project SAMOSAFER, where PSI is one of the 14 project partners. The total budget of the project, inclusive own and in-kind contributions, is 4.5 million Euros. The aim of SAMOSAFER project is to develop and demonstrate new safety barriers and a more controlled behaviour in severe accidents of the Molten Salt Reactor (MSR). Three groups at PSI will be involved in the project: the LSM groups for Advanced Nuclear Systems (ANS) and Multiscale Materials Modelling (MMM) and the Severe Accidents Research group (Sacre) of LRT, focusing on redistribution of the source term in the fuel treatment unit of MSR and assessment and reduction of radionuclide mobility during accidental conditions.
Publications
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Albà A, Adelmann A, Rochman D
Uncertainty quantification of spent nuclear fuel with multifidelity Monte Carlo
Annals of Nuclear Energy. 2025; 211: 110892 (17 pp.). https://doi.org/10.1016/j.anucene.2024.110892
DORA PSI -
Ansuinelli P, Saha S, Flores LFB, Béjar Haro B, Ekinci Y, Mochi I
Prior–primed deep neural network based EUV mask inspection
Optics Express. 2025; 33(6): 12572-12590. https://doi.org/10.1364/OE.550387
DORA PSI -
Arnold B, Hanusek T, Liu C, Nikitin K
Preliminary thermal-hydraulic safety analysis of the 600 thermal megawatt dual fluid reactor
Annals of Nuclear Energy. 2025; 213: 111090 (13 pp.). https://doi.org/10.1016/j.anucene.2024.111090
DORA PSI