References in zbMATH (referenced in 29 articles )

Showing results 1 to 20 of 29.
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  1. Gräf, Manuel; Neumayer, Sebastian; Hielscher, Ralf; Steidl, Gabriele; Liesegang, Moritz; Beck, Tilmann: An image registration model in electron backscatter diffraction (2022)
  2. Somlo, K.; Frodal, B. H.; Funch, C. V.; Poulios, K.; Winther, G.; Hopperstad, O. S.; Børvik, T.; Niordson, C. F.: Anisotropic yield surfaces of additively manufactured metals simulated with crystal plasticity (2022)
  3. El Shawish, S.; Mede, T.; Hure, J.: A single grain boundary parameter to characterize normal stress fluctuations in materials with elastic cubic grains (2021)
  4. Meng, Changyu; Wei, Haoyang; Chen, Hailong; Liu, Yongming: Modeling plasticity of cubic crystals using a nonlocal lattice particle method (2021)
  5. Vlassis, Nikolaos N.; Sun, WaiChing: Sobolev training of thermodynamic-informed neural networks for interpretable elasto-plasticity models with level set hardening (2021)
  6. Voyiadjis, George Z.; Jeong, Juyoung; Kysar, Jeffrey W.: Grain size dependence of polycrystalline plasticity modeling in cylindrical indentation (2021)
  7. Aduloju, Sunday C.; Truster, Timothy J.: A primal formulation for imposing periodic boundary conditions on conforming and nonconforming meshes (2020)
  8. Bartel, Felix; Hielscher, Ralf; Potts, Daniel: Fast cross-validation in harmonic approximation (2020)
  9. Dorian Depriester; Régis Kubler: MTEX2Gmsh: a tool for generating 2D meshes from EBSD data (2020) not zbMATH
  10. Duncan N. Johnstone, Ben H. Martineau, Phillip Crout, Paul A. Midgley, Alexander S. Eggeman: Density-based clustering of crystal orientations and misorientations and the orix python library (2020) arXiv
  11. Jalili, M.; Soltani, B.: Investigation the micromechanisms of strain localization formation in AZ31 Mg alloy: a mesoscale 3D full-field crystal plasticity computational homogenization study (2020)
  12. Vlassis, Nikolaos N.; Ma, Ran; Sun, WaiChing: Geometric deep learning for computational mechanics. I: Anisotropic hyperelasticity (2020)
  13. Vogt, Thomas; Strekalovskiy, Evgeny; Cremers, Daniel; Lellmann, Jan: Lifting methods for manifold-valued variational problems (2020)
  14. Bergmann, R.; Laus, F.; Persch, J.; Steidl, G.: Recent advances in denoising of manifold-valued images (2019)
  15. Liu, Zeliang; Wu, C. T.: Exploring the 3D architectures of deep material network in data-driven multiscale mechanics (2019)
  16. Pedretscher, B.; Kaltenbacher, B.; Pfeiler, O.: Parameter identification and uncertainty quantification in stochastic state space models and its application to texture analysis (2019)
  17. Yu, Cheng; Kafka, Orion L.; Liu, Wing Kam: Self-consistent clustering analysis for multiscale modeling at finite strains (2019)
  18. Baxevanakis, K. P.; Mo, C.; Cabal, M.; Kontsos, A.: An integrated approach to model strain localization bands in magnesium alloys (2018)
  19. Bergmann, Ronny; Fitschen, Jan Henrik; Persch, Johannes; Steidl, Gabriele: Priors with coupled first and second order differences for manifold-valued image processing (2018)
  20. Plonka, Gerlind; Potts, Daniel; Steidl, Gabriele; Tasche, Manfred: Numerical Fourier analysis (2018)

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Further publications can be found at: http://mtex-toolbox.github.io/publications.html