Publikationen aus 2021:

  1. K. Waszkowska, P. Josse, C. Cabanetos, P. Blanchard, B. Sahraoui, D. Guichaoua, I. Syvorotka, O. Kityk, R. Wielgosz, P. Huber and A. V. Kityk
    Anisotropic confinement of chromophores induces second-order nonlinear optics in a nanoporous photonic metamaterial
    Optics Letters 46, 4 (2021), 845-848
    https://doi.org/10.1364/OL.416948
  2. N. Huber and T. Beirau
    Modelling the effect of intrinsic radiation damage on mechanical properties: The crystalline-to-amorphous transition in zircon
    Scripta Materialia 197 (2021), 113789
    https://doi.org/10.1016/j.scriptamat.2021.113789
  3. Y. Shchur, A. V. Kityk, V. V. Strelchuk, A. S. Nikolenko, N. A. Andrushchak, P. Huber and A. S. Andrushchak
    Paraelectric KH₂PO₄ nanocrystals in monolithic mesoporous silica: Structure and lattice dynamics
    Journal of alloys and compounds 868 (2021), 159177
    https://doi.org/10.1016/j.jallcom.2021.159177
  4. M. A. Kolmangadi, A. Yildirim, K. Sentker, M. Butschies, A. Bühlmeyer, P. Huber, S. Laschat and A. Schönhals
    Molecular dynamics and electrical conductivity of Guanidinium based ionic liquid crystals: Influence of cation headgroup configuration
    Journal of molecular liquids 330 (2021), 115666
    https://doi.org/10.1016/j.molliq.2021.115666
  5. S. Shi, Y. Li, D. B. N. Ngo, J. Markmann and J. Weissmüller
    Scaling behavior of stiffness and strength of hierarchical network nanomaterials
    Science 371, 6533 (2021), 1026-1033
    https://doi.org/10.1016/j.molliq.2021.115666
  6. N. Huber
    A dataset combining microcompression and nanoindentation data from finite element simulations of nanoporous metals
    (2021)
    https://doi.org/10.1016/j.molliq.2021.115666
  7. N. Huber
    A strategy for dimensionality reduction and data analysis applied to microstructure–property relationships of nanoporous metals
    Materials 14 (8): 1822 (2021)
    https://doi.org/10.3390/ma14081822
  8. A.R.S. Olaya, B. Zandersons and G. Wittstock
    Effect of the residual silver and adsorbed lead anions towards the electrocatalytic methanol oxidation on nanoporous gold in alkaline media
    Electrochimica acta, Vol 282 (2021), 138348
    https://doi.org/10.15480/882.3507
  9. J. Li, J. Markmann, J. Weißmüller and N. Mameka
    Nanoporous gold-polypyrrole hybrid electrochemical actuators with tunable elasticity
    Acta materialia, Vol 212 (2021), 116852
    https://doi.org/10.1016/j.actamat.2021.116852
  10. M. Liu and J. Weissmüller
    Imaging the deformation-induced accumulation of defects in nanoporous gold
    Materials Research Letters 9 (9): 359-365 (2021)
    https://doi.org/10.15480/882.3577
  11. M. Thelen, N. Bochud, M. Brinker, C. Prada and P. Huber
    Laser-excited elastic guided waves reveal the complex mechanics of nanoporous silicon
    Nature Communications 12: 3597 (2021)
    https://doi.org/10.1038/s41467-021-23398-0
  12. B. Zandersons, L. Lührs, Y. Li and J. Weissmüller
    On factors defining the mechanical behavior of nanoporous gold
    Acta materialia, Vol 215 (2021), 116979
    https://doi.org/10.15480/882.3666
  13. C. Cheng, L. Lührs and T. Krekeler
    Simultaneous enhancement of actuation strain and mechanical strength of nanoporous Ni–Mn actuators
    Advanced electronic materials, Vol 7, No 7 (2021), 2100381
    https://doi.org/10.1002/aelm.202100381
  14. C. Cheng and L. Lührs
    Robust Metallic Actuators Based on Nanoporous Gold Rapidly Dealloyed from Gold–Nickel Precursors
    Advanced functional materials, (2021), 2107241
    https://doi.org/10.1002/adfm.202107241
  15. C. Richert, Y. Wu, M.P. Hablitzel, E. Lilleodden and N. Huber
    Image segmentation and analysis for densification mapping of nanoporous gold after nanoindentation
    MRS advances, Vol 6, No 20 (2021), 519-523
    https://doi.org/10.15480/882.3835
  16. T. Beirau and N. Huber
    Percolation transitions in pyrochlore: radiation-damage and thermally induced structural reorganization
    Applied physics letters, Vol 119, No 13 (2021), 131905
    https://doi.org/10.15480/882.3833
  17. T. Sardhara, R.C. Aydin, Y. Li, N. Piché, R. Gauvin, C.J. Cyron and M. Ritter
    Training deep neural networks to reconstruct nanoporous structures from FIB tomography images using synthetic training data
    CC BY 4.0, https://creativecommons.org/licenses/by/4.0/, (2021)
    https://doi.org/10.15480/336.3932