L. Orozco, L. Skoury, and A. Menges. Software, (2024)Related to: Orozco, L., Krtschil, A., Wagner, H. J., Bechert, S., Amtsberg, F., Skoury, L., Knippers, J., & Menges, A. (2021). Design Methods for Variable Density, Multi-Directional Composite Timber Slab Systems for Multi-Storey Construction. In V. Stojaković & B. Tepavčević (Chairs), Towards a New, Configurable Architecture. Symposium conducted at the meeting of Education and Research in Computer Aided Architectural Design in Europe, University of Novi Sad, Novi Sad, Serbia. doi: 10.52842/conf.ecaade.2021.1.303.
R. Herkert. Software, (2024)Related to: R. Herkert, P. Buchfink, B. Haasdonk, J. Rettberg, J. Fehr. (2024), "Error Analysis of Randomized Symplectic Model Order Reduction for Hamiltonian systems". arXiv: 2405.10465.
K. Udaykumar, L. Orozco, A. Krtschil, A. Menges, and J. Knippers. Software, (2024)Related to: Udaykumar, K., Orozco, L., Krtschil, A., Menges, A., & Knippers, J. (2023). Interactive gradient-decent optimization method for timber column-slab structures. In Proceedings of IASS Annual Symposia, IASS 2023 Melbourne Symposium: Optimisation methods and applications. International Association for Shell and Spatial Structures (IASS). url: https://www.ingentaconnect.com/contentone/iass/piass/2023/00002023/00000008/art00010.
R. Herkert. Software, (2024)Related to: R. Herkert, P. Buchfink, T. Wenzel, B. Haasdonk, P. Toktaliev, O. Iliev (2024), "Greedy Kernel Methods for Approximating Breakthrough Curves for Reactive Flow from 3D Porous Geometry Data". arXiv: 2405.19170.
P. Stärk, and A. Schlaich. Software, (2024)Related to: Artemov, V.; Frank, L.; Doronin, R.; Stärk, P.; Schlaich, A.; Andreev, A.; Leisner, T.; Radenovic, A.; Kiselev, A. The Three-Phase Contact Potential Difference Modulates the Water Surface Charge. J. Phys. Chem. Lett. 2023, 14, 4796-4802. doi: 10.1021/acs.jpclett.3c00479.
M. Raff, and D. Remy. Dataset, (2024)Related to: M. Raff, N. Rosa and C. D. Remy, "Connecting Gaits in Energetically Conservative Legged Systems," in IEEE Robotics and Automation Letters, vol. 7, no. 3, pp. 8407-8414, July 2022,. doi: 10.1109/LRA.2022.3186500.
T. Krake, D. Klötzl, D. Hägele, and D. Weiskopf. Dataset, (2024)Related to: Tim Krake, Daniel Klötzl, David Hägele, and Daniel Weiskopf, Üncertainty-Aware Seasonal-Trend Decomposition Based on Loess", in IEEE Transactions on Visualization and Computer Graphics, 2024. doi: 10.1109/TVCG.2024.3364388.
R. Herkert. Software, (2024)Related to: R. Herkert, P. Buchfink, B. Haasdonk, J. Rettberg, J. Fehr. (2024), "Error Analysis of Randomized Symplectic Model Order Reduction for Hamiltonian systems". arXiv: 2405.10465.
A. Schlaich. Software, (2024)Related to: Alexander Schlaich, Matthieu Vandamme, Marie Plazanet, Benoit Coasne, "Bridging Microscopic Dynamics and Hydraulic Permeability in Mechanically-Deformed Nanoporous Materials", (2024). arXiv: arXiv:2403.19812.
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.
J. Pelzer. Software, (2024)Related to: Pelzer, Julia, and Miriam Schulte. "Efficient two-stage modeling of heat plume interactions of geothermal heat pumps in shallow aquifers using convolutional neural networks." Geoenergy Science and Engineering (2024): 212788. doi: 10.1016/j.geoen.2024.212788.
J. Finkbeiner, S. Tovey, and C. Holm. Dataset, (2024)Related to: Jan Finkbeiner, Samuel Tovey, Christian Holm: Generating Minimal Training Sets for Machine Learned Potentials (2023). arXiv: 2309.03840.