Publikationen von Bob Svendsen

Wei, Y.: Machine learning methods in data-driven nanostructure analysis of materials. Dissertation, RWTH Aachen University (2021)

Bajaj, P.: Precipitation during Intrinsic Heat Treatment in Laser Additive Manufacturing. Dissertation, RWTH Aachen University (2020)

Wang, D.: Damage and Strain Patterning Simulation of Structural Heterogeneity. Dissertation, RWTH Aachen University (2019)

Lai, M.: Experimental-theoretical study of the interplay between deformation mechanisms and secondary phases in metastable β titanium alloys. Dissertation, RWTH Aachen, Aachen, Germany (2016)

Welsch, E. D.: On the strain hardening mechanisms of a high-Mn lightweight steel. Dissertation, RWTH Aachen, Aachen, Germany (2016)

Diehl, M.: High Resolution Crystal Plasticity Simulations. Dissertation, Aachen Institute for Advanced Study in Computational Engineering Science (AICES), RWTH Aachen University, Aachen, Germany (2015)

Mandal, S.: Dynamic correlations and confinement effects in glass forming hard sphere systems. Dissertation, RWTH Aachen, Aachen, Germany (2014)

Hamidi Siboni, N.: Molecular Dynamics Studies of Thermodynamical Consistency and Non-locality of Effective Temperature. Dissertation, Aachen Institute for Advanced Study in Computational Engineering Science (AICES), RWTH Aachen University, Aachen, Germany (2014)

Khorrami, M. S.; Mianroodi, J. R.; Hamidi Siboni, N.; Goyal, P. K.; Svendsen, B.; Benner, P.; Raabe, D.: An artificial neural network for surrogate modeling of stress fields in viscoplastic polycrystalline materials. npj Computational Materials 9 (1), S. 37 (2023)

Khorrami, M. S.; Mianroodi, J. R.; Hamidi Siboni, N.; Goyal, P. K.; Svendsen, B.; Benner, P.; Raabe, D.: An artificial neural network for surrogate modeling of stress fields in viscoplastic polycrystalline materials. arXiv (2022)