Z-INF

Information Infrastructure

Overview

Subproject Z-INF guarantees the sustainability and accessibility of research data. Of central importance is the efficient and long-term usability of research data generated within the CRC, the specific support of its members and partners in using established research data management tools, and the demand-oriented training / targeted transfer to facilities providing central infrastructure at the TU Darmstadt (information competency).

Further information:

Digital Research Data at TU Darmstadt (in German)

Team

  Name Contact
Prof. Dr. Christian Bischof
Prof. Dr. Christian Bischof
+49 6151 16-71001
S1|22 415
Prof. Dr. Dieter Bothe
Deputy Speaker, Coordinator Area B
+49 6151 16-21463
L2|06 400
Tomislav Maric
Dr.-Ing. Tomislav Maric
+49 6151 16-21469
L2|06 410

Publications

Fricke, M. ; Marić, T. ; Bothe, D. (2020):
Contact line advection using the geometrical Volume-of-Fluid method, J. Comput. Phys., doi.org/10.1016/j.jcp.2019.109221, Data and Implementations (FORTRAN)

Fricke, M. ; Marić, T. ; Bothe, D. (2019): Contact line advection using the Level Set method, Proc. Appl. Math. Mech., doi.org/10.1002/pamm.201900476, Data and Implementations (C++)

Hartmann, M.; Fricke, M; Weimar, L.; Gründing, D.; Marić, T.; Bothe, D.; Hardt, S. (2019):Breakup dynamics of capillary bridges on hydrophobic stripes. Eprint: arxiv.org/abs/1910.01887

Fischler, Y.; Lehr, J.-P.; Kiehn, M. M.; Bischof, C. (2019): Automatic identification of standard template algorithms in raw loops. In: Proc. of the 6th ACM SIGPLAN Int. Workshop on AI-Inspired and Empirical Methods for Software Engineering on Parallel Computing Systems, 11–14, ACM, doi.org/10.1145/3358500.3361568