C. Homs Pons, and R. Lautenschlager. Software, (2024)Related to: Coupled Simulations and Parameter Inversion for Neural System and Electrophysiological Muscle Models, submitted to GAMM Mitteilungen.
B. Bursik, J. Eller, and J. Groß. Dataset, (2024)Related to: B. Bursik, J. Eller, J. Gross: Predicting Solvation Free Energies from the Minnesota Solvation Database Using Classical Density Functional Theory Based on the PC-SAFT Equation of State. Journal of Physical Chemistry B, (2024). Accepted manuscript.
N. Rodrigues, F. Dennig, V. Brandt, D. Keim, and D. Weiskopf. Software, (2024)Related to: Rodrigues, N., Dennig, F. L., Brandt, V., Keim, D. A., & Weiskopf, D. (2024). Comparative Evaluation of Animated Scatter Plot Transitions. arXiv preprint. arXiv: 2401.04692.
S. Kiemle, J. Schneider, and K. Heck. Software, (2024)Related to: J. Schneider & S. Kiemle, K. Heck, Y. Rothfuss, I. Braud, R. Helmig, J. Vanderborght (2024) Analysis of Experimental and Simulation Data of Evaporation-Driven Isotopic Fractionation in Unsaturated Porous Media. (Under review) Vadose Zone.
Y. Wang. Software, (2024)Related to: Y. Wang, W. Wang, A. Abdelhafez, M. Elfares, Z. Hu, M. Bâce, A. Bulling. "SalChartQA: Question-driven Saliency on Information Visualisations", in Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems. doi: 10.1145/3613904.3642942.
L. Skoury, and T. Wortmann. Dataset, (2024)Related to: L. Skoury et al., “Towards data-informed co-design in digital fabrication”, Autom. Constr., vol. 158, p. 105229, Feb. 2024. doi: 10.1016/j.autcon.2023.105229.
J. Rettberg, D. Wittwar, and R. Herkert. Software, (2023)Related to: Rettberg, J.; Wittwar, D.; Buchfink, P.; Brauchler, A.; Ziegler, P.; Fehr, J.; Haasdonk, B.: Port-Hamiltonian Fluid-Structure Interaction Modeling and Structure-Preserving Model Order Reduction of a Classical Guitar. Mathematical and Computer Modelling of Dynamical Systems, 2023, Vol. 29, No. 1, 116-148. doi: 10.1080/13873954.2023.2173238.
I. Tischler, A. Schlaich, and C. Holm. Software, (2023)Related to: Ingo Tischler, Alexander Schlaich, Christian Holm. Disentanglement of Surface and Confinement Effects for Diene Metathesis in Mesoporous Confinement. ACS Omega 2023. doi: 10.1021/acsomega.3c06195.
P. Santana Chacon, M. Hammer, I. Wochner, J. Walter, and S. Schmitt. Software, (2023)Related to: P. F. S. Chacon, M. Hammer, I. Wochner, J. R. Walter and S. Schmitt. A physiologically enhanced muscle spindle model: using a Hill-type model for extrafusal fibers as template for intrafusal fibers. doi: 10.1080/10255842.2023.2293652.
C. Lohrmann, and C. Holm. Software, (2023)Related to: Lohrmann, Holm, Datta: Influence of bacterial motility and hydrodynamics on phage bacteria encounters, to be submitted.
R. Pesl, M. Stötzner, I. Georgievski, and M. Aiello. Dataset, (2023)Related to: Pesl, R.D., Stötzner, M., Georgievski, I., Aiello, M.: Uncovering LLMs for Service-Composition: Challenges and Opportunities. In: ICSOC 2023 Workshops (2023).
L. Werneck, E. Yildiz, M. Han, M. Keip, M. Sitti, and M. Ortiz. Software, (2023)Related to: Werneck, L., Han, M., Yildiz, E., Keip, M.-A., Sitti, M., & Ortiz, M. (2023). A Simple Quantitative Model of Neuromodulation, Part I: Ion Flow Through Neural Ion Channels. Journal of the Mechanics and Physics of Solids, 182:105457. doi: 10.1016/j.jmps.2023.105457.
J. Kneifl, and J. Fehr. Software, (2023)Related to: Kneifl, J., Kutz, J. N., Brunton, S.L., Fehr, J.: Multi-Hierarchical Surrogate Learning of Structural Dynamical Systems Using Graph Convolutional Neural Networks. To be submitted (2023).
F. Ziegler, J. Bruckner, M. Nowakowski, M. Bauer, P. Probst, B. Atwi, and M. Buchmeiser. Dataset, (2023)Related to: Ziegler, F., Bruckner, J. R., Nowakowski, M., Bauer, M., Probst, P., Atwi, B., Buchmeiser, M. R., Macrocyclization of Dienes under Confinement with Cationic Tungsten Imido/Oxo Alkylidene N-Heterocyclic Carbene Complexes. ChemCatChem 2023, e202300871. doi: 10.1002/cctc.202300871.
F. Trautwein, T. Reichenbach, A. Pott, and A. Verl. Dataset, (2023)Related to: Trautwein, F., Reichenbach, T., Pott, A., & Verl, A. (2023). A Predictor-Corrector-Scheme for the Geometry Planning for In-Operation-Reconfiguration of Cable-Driven Parallel Robots. In S. Caro, A. Pott, & T. Bruckmann (Eds.), Cable-Driven Parallel Robots (Vol. 132, pp. 261--272). Springer Nature Switzerland. doi: 10.1007/978-3-031-32322-5_21.