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Metadata Source: DaRUS

211 to 220 of 1,826 Results

AFEM-by-Equilibration Oct 18, 2024 - Model Order Reduction & Numerics Brodbeck, Maximilian; Bertrand, Fleurianne; Ricken, Tim, 2024, "AFEM-by-Equilibration", https://doi.org/10.18419/DARUS-4500, DaRUS, V1 This repository showcases how adaptive finite element solvers using equilibration based a posteriori error estimates can be build. Therefore, FEniCSx [1] alongside with dolfinx_eqlb [2], an extension for efficient flux equilibration are used. Classical benchmarks for the Poisson problem and linear elasticity are shown. The here presented code can b...
Scripts and data for "Calculation of 1H-NMR relaxation rates from a model united-atom alkanes using reverse coarse-graining" 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...
Implementation details and source code for CaΣoS: A nonlinear sum-of-squares optimization suite Oct 11, 2024 - Institute of Flight Mechanics and Controls 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.
SOFIA Telescope Finite Element Model 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.
Replication Data for: Grassmann Extrapolation for Accelerating Geometry Optimization 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
Replication Data for: Experimentally uncovering isolas via backbone tracking 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...
Data for: Feather keratin in Pavo cristatus: A tentative structure 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...
Data repository for "Minimial-Risk Training Samples for QNN Training from Measurements" 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...
Replication Data for: Origin of the yield stress anomaly in L12 intermetallics unveiled with physically informed machine-learning potentials 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...
Replication Data for: Compositio Prompto: An Architecture to Employ Large Language Models in Automated Service Computing 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...

AFEM-by-Equilibration

Oct 18, 2024 - Model Order Reduction & Numerics

Brodbeck, Maximilian; Bertrand, Fleurianne; Ricken, Tim, 2024, "AFEM-by-Equilibration", https://doi.org/10.18419/DARUS-4500, DaRUS, V1

This repository showcases how adaptive finite element solvers using equilibration based a posteriori error estimates can be build. Therefore, FEniCSx [1] alongside with dolfinx_eqlb [2], an extension for efficient flux equilibration are used. Classical benchmarks for the Poisson problem and linear elasticity are shown. The here presented code can b...

Scripts and data for "Calculation of 1H-NMR relaxation rates from a model united-atom alkanes using reverse coarse-graining"

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...

Implementation details and source code for CaΣoS: A nonlinear sum-of-squares optimization suite

Oct 11, 2024 - Institute of Flight Mechanics and Controls

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.

SOFIA Telescope Finite Element Model

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.

Replication Data for: Grassmann Extrapolation for Accelerating Geometry Optimization

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

Replication Data for: Experimentally uncovering isolas via backbone tracking

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...

Data for: Feather keratin in Pavo cristatus: A tentative structure

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...

Data repository for "Minimial-Risk Training Samples for QNN Training from Measurements"

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...

Replication Data for: Origin of the yield stress anomaly in L12 intermetallics unveiled with physically informed machine-learning potentials

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...

Replication Data for: Compositio Prompto: An Architecture to Employ Large Language Models in Automated Service Computing

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...

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