391 to 400 of 2,199 Results
Jul 4, 2025 - Few-Shot Learning by Explicit Physics Integration: An Application to Groundwater Heat Transport
Pelzer, Julia; Verburg, Corné, 2025, "Trained Vanilla Models on Synthetic Permeability Fields, 101 Data Points", https://doi.org/10.18419/DARUS-5081, DaRUS, V1
Models are trained with [git: DDUNet] on 101 data points (dp). Both, vanilla UNet and DDU-Net, can be applied directly end-to-end. For inference follow the guidelines of Heat Plume Prediction to prepare raw data, then apply the models as described in [git: DDUNet]. Based on raw data from https://doi.org/10.18419/darus-5064. |
Jul 4, 2025 - Few-Shot Learning by Explicit Physics Integration: An Application to Groundwater Heat Transport
Pelzer, Julia, 2025, "Trained Models on Real Permeability Fields, 4+1 Data Points", https://doi.org/10.18419/DARUS-5082, DaRUS, V1
Models are trained with Heat Plume Prediction on 4 data points (dp). Steps 1 and 3 of LGCNN (Local Global Convolutional Neural Network) are separate, step 2 is a numerical solver that does not require any trained model. For inference follow the guidelines of Heat Plume Prediction and applied all 3 steps/models sequentially to your input data. Based... |
Jul 4, 2025 - Few-Shot Learning by Explicit Physics Integration: An Application to Groundwater Heat Transport
Pelzer, Julia, 2025, "Trained Models on Synthetic Permeability Fields, 3+1 Data Points", https://doi.org/10.18419/DARUS-5080, DaRUS, V1
Models are trained with Heat Plume Prediction. Steps 1 and 3 of LGCNN (Local Global Convolutional Neural Network) are separate, step 2 is a numerical solver that does not require any trained model. The vanilla UNet can be applied directly end-to-end, just does not give very good results. For inference follow the guidelines of Heat Plume Prediction... |
Jul 4, 2025 - Few-Shot Learning by Explicit Physics Integration: An Application to Groundwater Heat Transport
Pelzer, Julia, 2025, "Datasets: 100 Heat Pumps + Synthetic Permeability Fields, Simulation - Raw, 101 Data Points", https://doi.org/10.18419/DARUS-5064, DaRUS, V1
This data set serves as training and testing data for modelling the temperature field emanating from open loop groundwater heat pumps (100, randomly placed). It is simulated with Pflotran and saved in h5 format. It contains 101 data points, each consisting of one simulation run until a quasi-steady state is reached. Each data point measures 12.8 km... |
Jul 2, 2025 - Publication: Intermittent flow paths in biofilms grown in a microfluidic channel
Bozkurt, Kerem; Lohrmann, Christoph; Weinhardt, Felix; Hanke, Daniel; Hopp, Raphael; Gerlach, Robin; Holm, Christian; Class, Holger, 2025, "Data for: Intermittent flow paths in biofilms grown in a microfluidic channel", https://doi.org/10.18419/DARUS-4314, DaRUS, V1
Content: This dataset includes images of 10 different biofilm growth experiments to observe intermittent flow paths in a microfluidic channel. All images taken by optical microscopy per five minutes. The experiments took in avarage 4-5 days. The published data is the raw images of the experiments. The images names were related to the timestamps as... |
Jun 30, 2025 - Data Analytics in Engineering
Keshav, Sanath; Herb, Julius; Fritzen, Felix, 2025, "Supplemental data for "Spectral Normalization and Voigt–Reuss net: A universal approach to microstructure‐property forecasting with physical guarantees"", https://doi.org/10.18419/DARUS-5120, DaRUS, V1
This repository contains supplemental data for the article "Spectral Normalization and Voigt-Reuss net: A universal approach to microstructure‐property forecasting with physical guarantees", accepted for publication in GAMM-Mitteilungen by Sanath Keshav, Julius Herb, and Felix Fritzen [1]. The data contained in this DaRUS repository acts as an exte... |
Jun 26, 2025 - Institute of Engineering and Computational Mechanics
Leprich, David; Rosenfelder, Mario; Hermle, Mario; Chen, Jingshan; Eberhard, Peter, 2025, "Experiment Video for Model Predictive Path-Following Control of a Quadrotor", https://doi.org/10.18419/DARUS-5099, DaRUS, V1
The provided video shows an experimental result of a Model Predictive Path-Following Controller (MPPFC) applied to a Crazyflie Quadrotor. The objective is to fly along the lemniscate path. The lemniscate is defined as a time-independent geometric curve, parameterized by a so-called timing law. Based on this, the MPPFC generates a dynamically feasib... |
Jun 24, 2025 - HEFDiG
Loehle, Stefan; Leiser, David; Toth, Juraj; Matlovič, Pavol; Pisarčíková, Adriana; Vaubaillon, Jeremie; Grigat, Felix; Eberhart, Martin; Hufgard, Fabian; Ravichandran, Ranjith; Poloni, Erik; Hörner, Igor; Dürnhofer, Christian; Delahaie, Sara; Ferrière, Ludovic; Sylvian Rommeluere; Rambaux, Nicolas, 2025, "Data from the MetSpec Experiments", https://doi.org/10.18419/DARUS-5100, DaRUS, V1, UNF:6:uEwTKTW4z6RxtYl8SAGfaQ== [fileUNF]
Data from ground testing of meteorites. It comprises video, still frames and spectroscopic data from 31 experiments examining 28 meteorite samples of various origins. The three experimental campaigns took place between 2020 and 2022. |
Jun 18, 2025 - IRCOBI
Lerge, Patrick; Trube, Niclas; Schmitt, Syn, 2025, "Replication Data for: "Plausibility assessment of passive and active human body models in numerical pedestrian to vehicle collision simulations based on real-life accident data and development of an injury assessment metric"", https://doi.org/10.18419/DARUS-5101, DaRUS, V1
This dataset contains all necessary files and descriptions to extend the finite element passive THUMSv4 pedestrian human body model into a muscle-driven active human body model. It also contains all the necessary tools to reposition the standard THUMSv4 pedestrian model into four different pedestrian positions as described in the publication "Plaus... |
Jun 17, 2025 - Materials Design
Ikeda, Yuji; Körmann, Fritz, 2025, "Data for: Impact of N on the Stacking Fault Energy and Phase Stability of FCC CrMnFeCoNi: An Ab Initio Study", https://doi.org/10.18419/DARUS-5117, DaRUS, V1
Data for the Publication Impact of N on the Stacking Fault Energy and Phase Stability of FCC CrMnFeCoNi: An Ab Initio Study The dataset contains the DFT data (VASP OUTCARs) that can reproduce the results. The following systems are included: N2 molecule CrMnFeCoNi without interstitial N CrMnFeCoNi with N at the octahedral and the tetrahedral interst... |
