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101 to 110 of 381 Results
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
Oct 9, 2024 - Structural Dynamics
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...
Oct 8, 2024 - Quantum Computing @IAAS
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...
SOFIA Data Center(Universität Stuttgart)
SOFIA Data Center logo
Oct 7, 2024Institute of Space Systems
To make the data collected by SOFIA, the Stratospheric Observatory for Infrared Astronomy, available to the international astronomical community in optimal shape for further scientific use.
Deutsches SOFIA Institut(Universität Stuttgart)
Deutsches SOFIA Institut logo
Oct 7, 2024Institute of Space Systems
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
Oct 2, 2024 - SynTrac_Publications
Seyfert, Dominic, 2024, "DP-FR-1924-MODLTW Polar Data Re15E5", https://doi.org/10.18419/DARUS-4491, DaRUS, V1
Polar measurements of the DP-FR-1924-MODLWT airfoil. Data recorded at the Laminar Wind Tunnel, University of Stuttgart. For details on the measurements, visit https://www.iag.uni-stuttgart.de/en/institute/test-facilities/laminar-wind-tunnel/
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