Research output
-
A fast and robust third medium contact approach using the neighbored element method
Zabiensky, M. V., Jantos, D. R. & Junker, P., Mar 2026, In: Finite Elements in Analysis and Design. 255, p. 104489 1 p., 104489.Research output: Contribution to journal › Article › Research › peer review
Open Access -
Thermodynamic Topology Optimization of compliant mechanisms including a multi-objective approach to prevent one-node connections
Wolf, S., Jantos, D. R. & Junker, P., 20 Jan 2026, In: Structural and Multidisciplinary Optimization. 69, 2, 32.Research output: Contribution to journal › Article › Research › peer review
Open Access -
A Novel Approach to Thermo-Mechanically Coupled, Gradient-Enhanced Damage Modeling
Liu, F., Jantos, D. R. & Junker, P., 15 Jun 2025, In: International Journal for Numerical Methods in Engineering. 126, 12, e70065.Research output: Contribution to journal › Article › Research › peer review
Open Access -
A Novel Simulation Approach for Damage Evolution during Tailored Forming
Liu, F., Jantos, D. R. & Junker, P., 25 Aug 2025, In: Advanced engineering materials. 27, 16, 8 p., 2401802.Research output: Contribution to journal › Article › Research › peer review
Open Access -
Computational efficiency and accuracy of the Neighbored Element Method
Rudolf, T., Klempt, F., Kök, H. I., Soleimani, M., Jantos, D. R. & Junker, P., Jul 2025, In: Finite Elements in Analysis and Design. 249, 104353.Research output: Contribution to journal › Review article › Research › peer review
Open Access
Datasets
-
Implementation of thermodynamic topology optimization for hardening materials in Julia
Kick, M. (Creator), Jantos, D. R. (Creator) & Junker, P. (Creator), Forschungsdaten-Repositorium der LUH, 2022
DOI: 10.25835/ya8glznn, https://data.uni-hannover.de/dataset/a3a5c29b-ae1a-4acd-8180-0e4ba90e788b
Dataset
-
Implementation of thermodynamic topology optimization for sequential additive manufacturing including structural self-weight in MATLAB
Jantos, D. R. (Creator), Kick, M. (Creator) & Junker, P. (Creator), Forschungsdaten-Repositorium der LUH, 2022
DOI: 10.25835/176pl6eq, https://data.uni-hannover.de/dataset/619d9e8b-8fba-4d9d-8311-fe11286e5b07
Dataset