101 to 110 of 293 Results
Desai, Ishaan; Scheurer, Erik; Bringedal, Carina; Uekermann, Benjamin, 2023, "Micro Manager Version v0.3.0", https://doi.org/10.18419/DARUS-3764, DaRUS, V1
The Micro Manager is a tool to facilitate solving two-scale (macro-micro) coupled problems using the coupling library preCICE. The compressed source files of this data set are only meant to archive the version v0.3.0. If you want to use the Micro Manager, please follow the information on the preCICE website. This version of the Micro Manager is com... |
Yang, Jie; Kondrat, Svyatoslav; Lian, Cheng; Liu, Honglai; Schlaich, Alexander; Holm, Christian, 2023, "Replication Data for: Solvent Effects on Structure and Screening in Confined Electrolytes", https://doi.org/10.18419/DARUS-3743, DaRUS, V1, UNF:6:KtlgApor9/WXUtTKp63TBw== [fileUNF]
This is the repository holding the data and python scripts we used for creating the corresponding figures in the publication. Tabular files include the ion and solvent (for solvent-explicit simulations) densiies for a hard-sphere primitive electrolyte model confined between two charged hard walls determined via classical density functional theory l... |
Sep 6, 2023 - Surrogate models for groundwater flow simulations
Pelzer, Julia, 2023, "Dataset: Single Heat Pump Simulation - Prepared "Learn Params", 100 Data Points", https://doi.org/10.18419/DARUS-3653, DaRUS, V1
This data set serves as training data for modelling the temperature field emanating from a groundwater heat pump. It is simulated with Pflotran, preprocessed with python and saved in pt-format. It contains 100 data points, each consisting of one simulation run after 5 years - so not necessarily in steady state. Each datapoint measures 100 m x 1280... |
Sep 6, 2023 - Surrogate models for groundwater flow simulations
Pelzer, Julia, 2023, "Dataset: Two Heat Pumps Simulation - Raw, 1000 Data Points", https://doi.org/10.18419/DARUS-3652, DaRUS, V1
This data set serves as training data for modelling the temperature field emanating from two groundwater heat pumps (one fixed, one randomly placed). It is simulated with Pflotran and saved in h5 format. It contains 1000 data points, each consisting of one simulation run until a near steady state is reached. Each datapoint measures 1250 m x 2560 m... |
Sep 6, 2023 - Surrogate models for groundwater flow simulations
Pelzer, Julia, 2023, "Dataset: Two Heat Pumps Simulation - Raw, 100 Data Points", https://doi.org/10.18419/DARUS-3651, DaRUS, V1
This data set serves as training data for modelling the temperature field emanating from two groundwater heat pumps (one fixed, one randomly placed). It is simulated with Pflotran and saved in h5 format. It contains 100 data points, each consisting of one simulation run until a near steady state is reached. Each datapoint measures 1250 m x 2560 m w... |
Sep 6, 2023 - Surrogate models for groundwater flow simulations
Pelzer, Julia, 2023, "Dataset: Single Heat Pump Simulation - Raw, 1000 Data Points", https://doi.org/10.18419/DARUS-3650, DaRUS, V1
This data set serves as training data for modelling the temperature field emanating from a groundwater heat pump. It is simulated with Pflotran and saved in h5 format. It contains 1000 data points, each consisting of one simulation run until a near steady state is reached. Each datapoint measures 100 m x 1280 m with 20 x 256 cells. The varying para... |
Sep 6, 2023 - Surrogate models for groundwater flow simulations
Pelzer, Julia, 2023, "Dataset: Single Heat Pump Simulation - Raw, 100 Data Points", https://doi.org/10.18419/DARUS-3649, DaRUS, V1
This data set serves as training data for modelling the temperature field emanating from a groundwater heat pump. It is simulated with Pflotran and saved in h5 format. It contains 100 data points, each consisting of one simulation run until a near steady state is reached. Each datapoint measures 100 m x 1280 m with 20 x 256 cells. The varying param... |
Aug 2, 2023 - Computational Cognitive Science
Skukies, René, 2023, "2023 CCN Time Window Project Code", https://doi.org/10.18419/DARUS-3635, DaRUS, V1
Notebooks/ scripts used for the time window project done for our CCN contribution in 2023. The notebooks will simulate EEG data based on a known "ground truth" ERP and test whether the estimation length during ERP activity estimation will have an Influence on the results. To get a first impression why this is important please have a look at our onl... |
