1 to 10 of 13 Results
May 21, 2024PN 4
Time-series data from robotic systems and simulations exhibiting nonlinear/non-smooth behaviour. |
Apr 18, 2024 - PN 4-4
Röder, Benedict; Ebel, Henrik; Eberhard, Peter, 2024, "Motion and Motor-Current Data of a Four-Bar Linkage", https://doi.org/10.18419/darus-4152, DaRUS, V1
General A hardware prototype of a four-bar linkage was constructed to generate the presented data set. The data consists of desired input currents supplied to a servo motor and the measured resulting velocities. The mechanism is portrayed in the lab_mechanism_x.jpg images. Furthe... |
Mar 13, 2024PN 2
SimTech Project PN 2-7 "Data-integrated training of surrogate models for uncertainty quantification and diagnostics of complex biological systems models" |
Mar 8, 2024PN 6
Advanced learning strategies for potential energy surfaces applied to organic electrolytes |
Mar 8, 2024PN 6
Unified diagnostic evaluation of physics-based, data-driven and hybrid hydrological models based on information theory |
Apr 18, 2024 - PN 1-X
Keim, Leon; Class, Holger, 2024, "Replication Code for: Rayleigh invariance allows the estimation of effective CO2 fluxes due to convective dissolution into water-filled fractures", https://doi.org/10.18419/darus-4089, DaRUS, V1
This dataset consists of software code associated with the publication titled "Rayleigh Invariance Enables Estimation of Effective CO2 Fluxes Resulting from Convective Dissolution in Water-Filled Fractures." It includes a Dockerimage that contains the precompiled code for immedia... |
Mar 14, 2024 - PN 2-7
Reiser, Philipp; Aguilar, Javier Enrique; Guthke, Anneli; Bürkner, Paul-Christian, 2024, "Replication Code for: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference", https://doi.org/10.18419/darus-4093, DaRUS, V1
This code allows to replicate key experiments from our paper: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference. For further details, please refer to the README.md. |
Mar 7, 2024 - Usability and Sustainability of Simulation Software
Kschidock, Helena, 2024, "Replication Data for: Development of a framework for point-particle tracking", https://doi.org/10.18419/darus-3760, DaRUS, V1
This dataset contains a custom build for Altair's simulation software ultraFluidX and the input files used in the Master Thesis 'Development of an Euler-Lagrangian framework for point-particle tracking to enable efficient multiscale simulations of complex flows', submitted by Hel... |