211 to 220 of 1,830 Results
Oct 16, 2024 - Holm group
Gravelle, Simon; Beyer, David; Brito, Mariano E.; Schlaich, Alexander; Holm, Christian, 2024, "Scripts and data for "Calculation of 1H-NMR relaxation rates from a model united-atom alkanes using reverse coarse-graining"", https://doi.org/10.18419/DARUS-4494, DaRUS, V1
Simulations and data analysis scripts for the publication "Calculation of 1H-NMR relaxation rates from a model united-atom alkanes using reverse coarse-graining". Within gromacs-inputs, two types of GROMACS simulation scripts are provided: all-atom and united-atoms. In both cases, the system is a liquid propane bulk system. See the README file for... |
Cunis, Torbjørn; Olucak, Jan, 2024, "Implementation details and source code for CaΣoS: A nonlinear sum-of-squares optimization suite", https://doi.org/10.18419/DARUS-4499, DaRUS, V1
This dataset contains detailed information, source code, and benchmark tests for CaΣoS: A nonlinear sum-of-squares optimization suite. Please refer to the "supplementary.pdf" for more information. |
Oct 9, 2024 - SOFIA Data Center
Greiner, Benjamin, 2024, "SOFIA Telescope Finite Element Model", https://doi.org/10.18419/DARUS-4034, DaRUS, V1
The SOFIA Telescope Finite Element Model is a collection of ANSYS APDL macros which construct an integrated model of the SOFIA Telescope Assembly from subcomponents. |
Oct 9, 2024 - Institute of Applied Analysis and Numerical Simulation
Askarpour, Zahra; Nottoli, Michele; Stamm, Benjamin, 2024, "Replication Data for: Grassmann Extrapolation for Accelerating Geometry Optimization", https://doi.org/10.18419/DARUS-4470, DaRUS, V1
Data for reproducibility of the numerical simulations of the research paper: Grassmann Extrapolation for Accelerating Geometry Optimization |
Woiwode, Lukas; Krack, Malte, 2024, "Replication Data for: Experimentally uncovering isolas via backbone tracking", https://doi.org/10.18419/DARUS-4504, DaRUS, V1
This dataset contains CAD model and technical drawings for the test rig in [1], as well as measurement data from [1]. Measurement data obtained by three types of nonlinear tests is available: - Backbone tests with phase fixed at resonance - Frequency-Response Curves (FRC) with fixed excitation amplitude and stepped phase values - Frequency-Response... |
Oct 8, 2024 - AG_BioMat
Russ, Peter; Kirchner, Helmut O. K.; Peterlik, Herwig; Weiss, Ingrid M., 2024, "Data for: Feather keratin in Pavo cristatus: A tentative structure", https://doi.org/10.18419/DARUS-4451, DaRUS, V2, UNF:6:vCDu8eUZUV9CAu6/SSux1A== [fileUNF]
Supplementary materials for the scientific study on “Feather keratin in Pavo cristatus: A tentative structure”. The Dataset consists of .pdb files obtained by AlphaFold. Avian F-keratin sequences of Pavo, Gallus and Larus spec. were comparatively analyzed for prediction and visualization of representative 3D structures of N-block and C-block F-kera... |
Mandl, Alexander; Bechtold, Marvin; Barzen, Johanna; Leymann, Frank, 2024, "Data repository for "Minimial-Risk Training Samples for QNN Training from Measurements"", https://doi.org/10.18419/DARUS-4113, DaRUS, V1
Replication code and experiment result data for training Quantum Neural Networks with entangled data using one-dimensional projectors as observables. This is the version of the code that was used to generate the experiment results in the related publication. Experiments: - exp_inf_coeffvariation.py: Trains QNNs using training samples of varying Sch... |
Oct 8, 2024 - PN 3-10
Xu, Xiang, 2024, "Replication Data for: Origin of the yield stress anomaly in L12 intermetallics unveiled with physically informed machine-learning potentials", https://doi.org/10.18419/DARUS-4480, DaRUS, V1
Data for the manuscript "Origin of the yield stress anomaly in L12 intermetallics unveiled with physically-informed machine-learning potentials", https://doi.org/10.1016/j.actamat.2024.120423. This data set contains: 1) the utilized moment-tensor-potentials (MTP) and the corresponding training sets; 2) The atomistic structure of 2delta Kear-Wilsdor... |
Oct 7, 2024 - Architectures and Middleware @IAAS
Pesl, Robin D.; Mombrey, Carolin; Klein, Kevin; Georgievski, Ilche; Becker, Steffen; Herzwurm, Georg; Aiello, Marco, 2024, "Replication Data for: Compositio Prompto: An Architecture to Employ Large Language Models in Automated Service Computing", https://doi.org/10.18419/DARUS-4497, DaRUS, V1
A classic, central Service-Oriented Computing (SOC) challenge is the service composition problem. It concerns solving a user-defined task by selecting a suitable set of services, possibly found at runtime, determining an invocation order, and handling request and response parameters. The solutions proposed in the past two decades mostly resort to a... |
Oct 2, 2024 - SynTrac_Publications
Deck, Ulrich; Seyfert, Dominic, 2024, "DP-FR-1924-MODLTW airfoil coordinates", https://doi.org/10.18419/DARUS-4490, DaRUS, V1
Normalized airfoil coordinates for the DP-FR-1924-MODLWT airoil. The airfoil is derived from the DP-FR-1924 airfoil. Modifications done by Ulrich Deck, Institute of Aerodynamics and Gas Dynamics, University of Stuttgart. Courtesy from DLR Institute of Aerodynamics and Flow Technology and TUBS Institute of Fluid Mechanics |
