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Computational Physics Group
Our group is interested in the theoretical and computational exploration of correlated quantum matter in condensed matter and AMO systems. We strive to understand novel phases of matter, quantum critical phenomena and quantum systems out of equilibrium. Our research builds on a blend of concepts and ideas from condensed matter theory, statistical mechanics, quantum field theory and quantum information. We also develop and implement innovative computational algorithms in order to perform large-scale computer simulations on high-performance computers.
Conference Articles of the Severe Accident Research group
Monte Carlo Simulation Of Scintillation Detector For Spent Fuel Characterization In A Hot Cell M Papadionysiou, G Perret, R Zboray, R Adams Ans Student Conference 2017, April 6-9, 2017, Pittsburgh, Pa, Usa , (2017).
SuperXAS Publications
SLS: SuperXAS
Laboratory for Multiscale Materials Experiments (LMX) Scientific Publications
A dynamic double layer as the origin of the mass-dependent ion acceleration in laser-induced plasmas
Ojeda-G-P A, Yao X, Bulgakova Nadezhda M, Bulgakov Alexander V, Lippert T
Applied Physics A
125,
71
(2019).
DOI: 10.1007/s00339-018-2345-3
Bulk single-crystal growth of the theoretically predicted magnetic Weyl semimetals RAlGe ( R = Pr, Ce)
Puphal P, Mielke C, Kumar N, Soh Y, Shang T, Medarde M, White Jonathan S, Pomjakushina E
Physical Review Materials
3,
024204
(2019).
Comment les «footballènes» se forment dans l’espace
Une équipe internationale de recherche montre comment les fullerènes se forment dans l’espace.
Research on Covid-19
PSI is in limited operation due to the Covid-19 pandemic. But right now, in this extraordinary time, the researchers want to make their contribution to society – at PSI and in cooperation with other research institutions and companies. Here we provide information on activities and projects that are starting up or being planned, for example, to examine lung tissue or to produce proteins and antibodies, or on ideas for new research on Covid-19.