101 to 110 of 2,109 Results
Feb 24, 2026 - Materials Design
Glazyrin, Konstantin; Spektor, Kristina; Bykov, Maxim; Brant Carvalho, Paulo Henrique; Dong, Weiwei; Körmann, Fritz; Sano-Furukawa, Asami; Hattori, Takanori; Beyer, Doreen; Sahlberg, Martin; Ikeda, Yuji; Yu, Ji-Hun; Yang, Sangsun; Lee, Jai-sung; Bhat, Shrikant; Michael, Hanfland; Grabowski, Blazej; Divinski, Sergiy; Yusenko, Kirill, 2026, "Replication Data for: Synthesis of High-Entropy Hydride from the Cantor Alloy (fcc-CoCrFeNiMn) at Extreme Conditions", https://doi.org/10.18419/DARUS-5698, DaRUS, V2
Data for reproducing DFT simulations in the manuscript "Synthesis of High-Entropy Hydride from the Cantor Alloy (fcc-CoCrFeNiMn) at Extreme Conditions". The data contain the optimized atomic positions of the following systems in the VASP POSCAR/CONTCAR format. fcc_reference: 5 SQS models x 9 volumes in FCC, without H fcc_all_octa: 5 SQS models x 16... |
Feb 23, 2026 - Modeling Strategies for Gas migration in Subsurface
Banerjee, Ishani; Guthke (geb. Schöniger), Anneli; Nowak, Wolfgang, 2026, "Replication Data for: A framework for objectively comparing competing invasion percolation models based on highly-resolved image data", https://doi.org/10.18419/DARUS-3592, DaRUS, V1
This dataset contains the codes for the invasion percolation models and comparison method used in the manuscript: A framework for objectively comparing competing invasion percolation models based on highly-resolved image data |
Feb 23, 2026 - SOFIA Astronomy Data
SOFIA Data Center, 2026, "Precipitable Water Vapor Tables from ECMWF ERA5 Re-Analysis for SOFIA FIFI-LS Flights", https://doi.org/10.18419/DARUS-5728, DaRUS, V1
SOFIA Precipitable Water Vapor (PWV) Products for all flights with FIFI-LS between the year 2014 and 2022. Each FITS file contains a HDU "DATA", which is a binary table extension with columns for Precipitable Water Vapor (PWV), Longitude, Latitude and Atmospheric Pressure as a function of in-flight time. The source for positional data is the primar... |
Feb 20, 2026 - EXC IntCDC Associated Project 47 'Optimisation and Machine Learning for Climate-Friendly Design'
Zorn, Max Benjamin; Paule, Robin; Akbar, Zuardin; Wortmann, Thomas, 2026, "Opossum", https://doi.org/10.18419/DARUS-5685, DaRUS, V1
Opossum Opossum is an optimization plug-in for Grasshopper (for Rhino) that implements model-based and evolutionary optimization algorithms for single- and multi-objective problems. The plugin integrates GUI components into Grasshopper to configure runs, visualize results, and persist optimizer state inside Grasshopper documents. This repository co... |
Feb 20, 2026 - SFB-TRR 161 A03 "Quantification of Visual Analytics Transformations and Mappings"
Dennig, Frederik L.; Keim, Daniel, 2026, "Replication Data for: "DE-VAE: Revealing Uncertainty in Parametric and Inverse Projections with Variational Autoencoders using Differential Entropy"", https://doi.org/10.18419/DARUS-5258, DaRUS, V1
This is the replication data for our paper "DE-VAE: Revealing Uncertainty in Parametric and Inverse Projections with Variational Autoencoders using Differential Entropy", allowing additional analysis and experiments. The files, per file, below. It includes the experiment data and source code. For details on the usage, please refer to the README.md... |
Feb 20, 2026 - Materials Design
Kumar, Pranav; Körmann, Fritz; Edalati, Kaveh; Grabowski, Blazej; Ikeda, Yuji, 2026, "Data for: Hydrogen diffusion in TiCr2Hx Laves phases: A combined ab initio and machine-learning-potential study", https://doi.org/10.18419/DARUS-5544, DaRUS, V1
This dataset supports the development and validation of machine learning interatomic potentials (MLIPs) for modeling hydrogen diffusion in C14 (hexagonal) and C15 (cubic) TiCr₂-based Laves phases. It includes fitted moment tensor potentials (Level 16) and the corresponding training dataset. The data is organized into two directories: Training_db/,... |
Feb 20, 2026 - C05: Process-dependent porosity-permeability relations for fluid-solid reactions in porous media
Emadi, Samira, 2026, "Coupling MRI and XRCT to resolve structure–transport evolution during enzyme-induced calcite precipitation at the REV scale", https://doi.org/10.18419/DARUS-5650, DaRUS, V1
This dataset supports the study of enzyme-induced calcite precipitation (EICP) in saturated sand columns under constant flow injection. The experiments investigate how CaCO3 precipitation alters pore structure, transport properties, and permeability at the representative elementary volume (REV) scale. The dataset combines magnetic resonance imaging... |
Feb 20, 2026 - C04: Pore-scale and REV-scale approaches to biological and chemical pore-space alteration in porous media
Wendel, Kai; Keim, Leon; Strauch, Bettina; Zimmer, Martin; Class, Holger, 2026, "Code for: Validating a Numerical Model for Calco-Carbonic Reactive Flow in a Laboratory Scale Fracture Analog", https://doi.org/10.18419/DARUS-4819, DaRUS, V1
This dataset contains the DuMux code for the simulations in paper "Validating a Numerical Model for Calco-Carbonic Reactive Flow in a Laboratory Scale Fracture Analog" To run the simulations at your own computer, please conduct the following steps: Install docker for (example in ubuntu)[https://docs.docker.com/engine/install/ubuntu/] Make sure you... |
Feb 20, 2026 - C04: Pore-scale and REV-scale approaches to biological and chemical pore-space alteration in porous media
Wendel, Kai; Keim, Leon; Strauch, Bettina; Zimmer, Martin; Class, Holger, 2026, "Data for: Validating a Numerical Model for Calco-Carbonic Reactive Flow in a Laboratory Scale Fracture Analog", https://doi.org/10.18419/DARUS-4818, DaRUS, V1
This dataset contains laboratory‑experiment data and simulation data for the publication Validating a Numerical Model for Calco‑Carbonic Reactive Flow in a Laboratory Scale Fracture Analog. For missing details see the attached README.md To create the graphs in the publication, download fracture_analog.tar.xz. Make sure that you have the dependencie... |
Feb 19, 2026 - PN 5-13
Duvenbeck, Lennart; Riethmüller, Cedric; Rohde, Christian, 2025, "Matlab Code and Data for: Data-driven geometric parameter optimization for PD-GMRES", https://doi.org/10.18419/DARUS-4812, DaRUS, V2
This repository contains the Matlab code and generated data for the manuscript "Data-driven geometric parameter optimization for PD-GMRES" which uses a quadtree approach to optimize parameters for the iterative solver PD-GMRES. It includes hardware specific data to allow for reproducibity of our results. Our calculations were performed using MATLAB... |
