Laboratory for Materials Simulations (LMS)

LMS banner by Leonid Kahle and Nicola Marzari
©Leonid Kahle and Nicola Marzari

The Laboratory for Materials Simulations develops the theory, algorithms, software and data required for the study of advanced materials at PSI.

  • Horak J, Sidler D, Schnappinger T, Huang WM, Ruggenthaler M, Rubio A
    Analytic model reveals local molecular polarizability changes induced by collective strong coupling in optical cavities
    Physical Review Research. 2025; 7(1): 013242 (15 pp.). https://doi.org/10.1103/PhysRevResearch.7.013242
    DORA PSI
  • Uhrin M, Zadoks A, Binci L, Marzari N, Timrov I
    Machine learning Hubbard parameters with equivariant neural networks
    npj Computational Materials. 2025; 11(1): 19 (10 pp.). https://doi.org/10.1038/s41524-024-01501-5
    DORA PSI
  • Serra M, Antonatos N, Lajaunie L, Albero J, Garcia H, Weng M, et al.
    A photodetector based on the non-centrosymmetric 2D pseudo-binary chalcogenide MnIn2Se4
    Journal of Materials Chemistry C. 2025: (14 pp.). https://doi.org/10.1039/d4tc04380d
    DORA PSI
  • Onuorah IJ, Bonacci M, Isah MM, Mazzani M, De Renzi R, Pizzi G, et al.
    Automated computational workflows for muon spin spectroscopy
    Digital Discovery. 2025; 4(2): 523-538. https://doi.org/10.1039/d4dd00314d
    DORA PSI
  • Liu JC, Li C, Chahib O, Wang X, Rothenbühler S, Häner R, et al.
    Spin excitations of high spin iron(II) in metal–organic chains on metal and superconductor
    Advanced Science. 2024. https://doi.org/10.1002/advs.202412351
    DORA PSI