1 to 10 of 18 Results
Jan 29, 2024 - Quantum Computing @IAAS
Bechtold, Marvin; Barzen, Johanna; Leymann, Frank; Mandl, Alexander, 2024, "Data repository for: Cutting a Wire with Non-Maximally Entangled States", https://doi.org/10.18419/darus-3888, DaRUS, V1, UNF:6:79HIPgCvMDi51TZ2V7NUew== [fileUNF]
This dataset contains the replication code for the publication titled "Cutting a Wire with Non-Maximally Entangled States." The provided code represents the version utilized to generate the experimental results documented in the corresponding publication. For comprehensive instru... |
Nov 17, 2023 - PN 7-6
Kneifl, Jonas; Fehr, Jörg, 2023, "Crash Simulations of a Racing Kart's Structural Frame Colliding against a Rigid Wall", https://doi.org/10.18419/darus-3789, DaRUS, V1
Crash Simulations of a Racing Kart Frame Model This dataset contains results for several crash simulations of the frame of a racing kart colliding against a rigid wall. The wall and the frame itself are modeled as finite element models, implemented in the commercial software tool... |
Oct 11, 2023 - NMR insights into nanoconfined water using the surface exchange model
Gravelle, Simon, 2023, "Molecular simulation scripts for slit nanopores with tunable hydrophilicity", https://doi.org/10.18419/darus-3732, DaRUS, V1
GROMACS molecular simulation input files for slit nanopores filled with liquid water. Initial configuration can be generated using the Python script build_system.py. Use the bash script run_gmx.sh to run GROMACS. See the README.md file. |
Sep 27, 2023 - Quantum Computing @IAAS
Mandl, Alexander; Barzen, Johanna; Leymann, Frank; Mangold, Victoria; Riegel, Benedikt; Vietz, Daniel; Winterhalter, Felix, 2023, "Reproduction Code for: On Reducing the Amount of Samples Required for Training of QNNs", https://doi.org/10.18419/darus-3445, DaRUS, V1
Replication code for training Quantum Neural Networks using entangled datasets. This is the version of the code that was used to generate the experiment results in the related publication. For future developments and discussion see the Github repository. Experiments: avg_rank_exp... |
Mandl, Alexander; Barzen, Johanna; Leymann, Frank; Mangold, Victoria; Riegel, Benedikt; Vietz, Daniel; Winterhalter, Felix, 2023, "Data Repository for: On Reducing the Amount of Samples Required for Training of QNNs", https://doi.org/10.18419/darus-3442, DaRUS, V1
Simulation experiment data for training Quantum Neural Networks (QNNs) using entangled datasets. The experiments investigate the validity of the lower bounds for the expected risk after training QNNs given by the extensions to the Quantum No-Free-Lunch theorem presented in the re... |
Bechtold, Marvin; Barzen, Johanna; Leymann, Frank; Mandl, Alexander; Obst, Julian; Truger, Felix; Weder, Benjamin, 2023, "Data repository for: Investigating the effect of circuit cutting in QAOA for the MaxCut problem on NISQ devices", https://doi.org/10.18419/darus-3124, DaRUS, V1
This dataset contains the replication code for the publication titled "Investigating the effect of circuit cutting in QAOA for the MaxCut problem on NISQ devices." The provided code represents the version utilized to generate the experimental results documented in the correspondi... |
Jul 1, 2023 - PN 5-1
Huber, Felix; Bürkner, Paul-Christian; Göddeke, Dominik; Schulte, Miriam, 2023, "Experimental Data and Models for "Knowledge-Based Modeling of Simulation Behavior for Bayesian Optimization"", https://doi.org/10.18419/darus-3550, DaRUS, V1, UNF:6:QWTNrKTVYgetwfCBQfeWvw== [fileUNF]
These files contain the data for the OpenDiHu experiments in sections 5.1.3 and 5.2. The settings used for the OpenDiHu simulations are in the opendihu/ folder. The simulation data is in the data/ folder and the used stan models are in the models/ folder. For more details see REA... |
Schmitt, Marvin, 2023, "Replication Code for: Meta-Uncertainty in Bayesian Model Comparison", https://doi.org/10.18419/darus-3514, DaRUS, V1, UNF:6:zUDr3KGdcaDCy+jFtcz8lA== [fileUNF]
This dataverse contains the code for the paper Meta-Uncertainty in Bayesian Model Comparison: https://doi.org/10.48550/arXiv.2210.07278 Note that the R code is structured as a package, thus requiring a local installation with subsequent loading via library(MetaUncertaintyPaper).... |
Mar 9, 2023 - NMR investigation of water confined by salt interface
Gravelle, Simon; Holm, Christian; Schlaich, Alexander, 2023, "Molecular simulation scripts for slit nanopores", https://doi.org/10.18419/darus-3180, DaRUS, V1
GROMACS molecular simulation input files for slit nanopores made of NaCl and Na2SO4 solid walls, and filled with respectively NaCl and Na2SO4 solutions. Initial configuration with a given salt concentration can be generated using the Python script ConfigurationGenerator.py, and s... |
Feb 13, 2023 - C04: Pore-scale and REV-scale approaches to biological and chemical pore-space alteration in porous media
Keim, Leon; Class, Holger; Schirmer, Larissa; Wendel, Kai; Strauch, Bettina; Zimmer, Martin, 2023, "Data for: Measurement Campaign of Gaseous CO2 Concentrations in a Karst Cave with Aqueous Concentrations in a Stagnant Water Column 2021-2022.", https://doi.org/10.18419/darus-3271, DaRUS, V1
This dataset contains data generated during the measurement campaign inside the karst cave. The CO2 sensors in the cave air will continue to measure (as of Feb. 2023). For details on the site etc. see https://doi.org/10.3390/geosciences13020051 To create the graphs in the Class e... |
