241 to 250 of 2,118 Results
Oct 13, 2025 - D03: Development and realisation of validation benchmarks
Kohlhaas, Rebecca; Hommel, Johannes; Weinhardt, Felix; Class, Holger; Oladyshkin, Sergey; Flemisch, Bernd, 2025, "Surrogate model for: "Numerical Investigation of Preferential Flow Paths in Enzymatically Induced Calcite Precipitation supported by Bayesian Model Analysis"", https://doi.org/10.18419/DARUS-4654, DaRUS, V1
Evaluations and scripts for replication of "Numerical Investigation of Preferential Flow Paths in Enzymatically Induced Calcite Precipitation supported by Bayesian Model Analysis". This includes model evaluations, visualization, surrogate training and evaluation and Bayesian model analysis. |
Oct 10, 2025 - Institute of Thermodynamics and Thermal Process Engineering
Thiele, Nadine; Stierle, Rolf; Menzel, Tim; Spera, Marcelle; Gross, Joachim, 2025, "Supplementary material for "Unlocking Hydrogen’s Potential: Prediction of Adsorption in Metal-Organic Frameworks for Sustainable Energy Storage"", https://doi.org/10.18419/DARUS-5103, DaRUS, V1, UNF:6:UAX01NIknrzierG3l1/g9A== [fileUNF]
The data that support the findings of the article "Unlocking Hydrogen’s Potential: Prediction of Adsorption in Metal-Organic Frameworks for Sustainable Energy Storage". The dataset includes all adsorption data obtained from GCMC simulations and from classical DFT calculations ("data") for each investigated porous material. Furthermore, the dataset... |
Oct 10, 2025 - Institute of Engineering and Computational Mechanics
Baumann, Andreas, 2025, "Visualizations from A Mesh-Free Multi-Physics Approach to Modeling Deep-Hole Drilling and Predicting Chip Jamming and Drill Failure", https://doi.org/10.18419/DARUS-5406, DaRUS, V1
Deep-hole drilling Deep-hole drilling (DHD), particularly at micro scales, presents significant challenges in experimental investigations due to inaccessibility and complex fluid-structure interaction. The related dissertation introduces a novel mesh-free multi-physics modeling approach that couples Smoothed Particle Hydrodynamics (SPH) and the Dis... |
Oct 6, 2025 - Institute for Reactive Flows (IRST)
Shamooni, Ali, 2025, "Replication Data for: Super-resolution of turbulent velocity fields in two-way coupled particle-laden flows", https://doi.org/10.18419/DARUS-5372, DaRUS, V1
The repository contains files required to reproduce the results. The three compressed filed are (i) torch_code, (ii) datasets, and (iii) experiments. Detailed files description torch_code The main Pytorch source code used for training/testing is provided in torch_code.tar.gz file. datasets The training/validation/testing datasets have been provided... |
Oct 6, 2025 - SFB 1333 - Estes group, ITC
Wimmer, Erik Jasper, 2025, "Replication Data for: Properties of COOH-Functionalized Silica: A Particularly Weak Solid Acid", https://doi.org/10.18419/DARUS-5132, DaRUS, V1, UNF:6:CB90xGpB7AHsB7L25q2www== [fileUNF]
All primary data files of measurements and processed data of the journal article mentioned under related publications from Estes group can be found here. The data is structured according to the respective analytical methods in the research article and contains the following data types (format): (IR, potentiometric titration (.csv), NMR (bruker, .mn... |
Oct 2, 2025 - EXC IntCDC Research Project 1 'Functionally Graded Concrete Building System – Design, Optimisation, Digital Production and Reuse'
Teichmann, Alexander, 2025, "Replication Data for: Effects of a Two-Stage Mixing Process on the Characteristics of Concrete: Part II - Fresh Concrete Rheology and Measurement Protocols", https://doi.org/10.18419/DARUS-5351, DaRUS, V1, UNF:6:fqyI9xwkg2mlLJ+/urjFVg== [fileUNF]
Addendum to the corresponding paper. The data was originally used to explore the effects of a two-stage mixing process on the properties of fresh concrete. The data set represents experimental measurements taken with a modified ICAR Rheometer on three different concrete proportions with two different mixing configurations. The data includes yield s... |
Oct 1, 2025 - Institute of Applied Optics
Fu, Liwei, 2025, "Replication Data for: Deep learning based computational imaging and optical metrology", https://doi.org/10.18419/DARUS-5331, DaRUS, V1
A new study explores using deep learning to speed up optical scatterometry, a key quality control technique in computer chip manufacturing. This method could replace older, slower, and data-heavy processes. Manufacturing computer chips involves creating tiny, complex patterns on silicon wafers. The accuracy of these microscopic features is vital fo... |
Oct 1, 2025 - D03: Development and realisation of validation benchmarks
Kohlhaas, Rebecca; Morales Oreamuno, Maria Fernanda; Lacheim, Alina, 2025, "BayesValidRox 2.1.0", https://doi.org/10.18419/DARUS-5323, DaRUS, V1
BayesValidRox is an open-source python package that provides methods for surrogate modeling, Bayesian inference and model comparison. Release 2.1.0 streamlines the sequential training of metamodels, and updates the metamodel validation and postprocessing functionalities. |
Sep 29, 2025 - Institute of Flight Mechanics and Controls
Olucak, Jan; Castello Branco de Oliveira, Arthur; Cunis, Torbjørn, 2025, "Supplementary Material for: Safe-by-Design Approximate Nonlinear Model Predictive Control with Realtime Feasibility", https://doi.org/10.18419/DARUS-5297, DaRUS, V2
This repository contains supplementary material for the paper "Safe-by-Design Approximate Nonlinear Model Predictive Control with Realtime Feasibility" submitted to IEEE Transactions on Automatic Control. It contains additional information regarding the implementation and the MATLAB source code to generate the numerical results. See the README file... |
Sep 26, 2025 - Institute of Engineering and Computational Mechanics
Kurcsics, Mark; Eberhard, Peter, 2025, "Simulation Results for Versatile Absorption Modeling for Transmissive Optical Elements Using Ray Tracing and Finite Element Analysis", https://doi.org/10.18419/DARUS-5386, DaRUS, V1
Emerging quality requirements in modern optical systems increase the need for accurate simulation and compensation of disturbances. One key disturbance in high-power laser applications results from thermal loading due to absorption. The related paper presents a flexible modeling approach for absorption based on ray tracing, where point heat sources... |
