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10 Publications
2021 | Journal Article | LibreCat-ID: 33657
H. Mirhosseini, H. Tahmasbi, S. R. Kuchana, A. Ghasemi, and T. Kühne, “An automated approach for developing neural network interatomic potentials with FLAME,” Computational Materials Science, vol. 197, Art. no. 110567, 2021, doi: 10.1016/j.commatsci.2021.110567.
LibreCat
| DOI
2015 | Journal Article | LibreCat-ID: 24698
C. Cheng and R. Mahnken, “A multi-mechanism model for cutting simulations based on the concept of generalized stresses,” Computational Materials Science, pp. 144–158, 2015, doi: 10.1016/j.commatsci.2014.12.028.
LibreCat
| DOI
2015 | Journal Article | LibreCat-ID: 24650
M. Düsing and R. Mahnken, “Simulation of lower bainitic transformation with the phase-field method considering carbide formation,” Computational Materials Science, pp. 91–100, 2015, doi: 10.1016/j.commatsci.2015.08.043.
LibreCat
| DOI
2011 | Journal Article | LibreCat-ID: 25089
R. Mahnken and S. Wilmanns, “A projected Newton algorithm for simulation of multi-variant textured polycrystalline shape memory alloys,” Computational Materials Science, pp. 2535–2548, 2011, doi: 10.1016/j.commatsci.2011.03.010.
LibreCat
| DOI
2011 | Journal Article | LibreCat-ID: 25085
R. Mahnken, A. Schneidt, S. Tschumak, and H. J. Maier, “On the simulation of austenite to bainite phase transformation,” Computational Materials Science, pp. 1823–1829, 2011, doi: 10.1016/j.commatsci.2010.12.032.
LibreCat
| DOI
2007 | Journal Article | LibreCat-ID: 26272
R. Mahnken and S. Wilmanns, “Simulation of asymmetric effects for shape memory alloys by decomposition of transformation strains,” Computational Materials Science, pp. 295–305, 2007, doi: 10.1016/j.commatsci.2007.07.042.
LibreCat
| DOI