751 to 760 of 3,489 Results
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 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... |
Sep 23, 2025 - 2022_ICM_NWG_Greybox_Modelling
Hinze, Christoph; Xu, Haijia, 2025, "Replication Data for: Increasing Dynamic Accuracy using Predictive Feedforward with Hybrid Modeling", https://doi.org/10.18419/DARUS-4513, DaRUS, V1
Experimental dataset for model identification and validation of feedforward control on a five-axis milling machine. This dataset belongs to the Open Access publication "Increasing dynamic accuracy of machine tools using predictive feedforward optimization with hybrid modeling" (doi: 10.1016/j.rcim.2025.103137) A detailed description of the setup ca... |
Sep 17, 2025Institute of Organic Chemistry
This dataverse contains datasets of the research group of Prof. Dr. Anke Krueger at the Institute of Organic Chemistry at the University of Stuttgart. |
Sep 17, 2025
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Sep 16, 2025 - EXC IntCDC Associated Project 42 'Universal Timber Slab'
Alvarez, Martin; Wagner, Hans Jakob; Menges, Achim, 2025, "Slab Building Blocks", https://doi.org/10.18419/DARUS-5096, DaRUS, V1
Overview This dataset defines building blocks for composing floor slabs with a vast range of triangular and rectangular configurations for spans mainly between four and twelve meters. The shapes are generated at regular intervals for different resolutions: 0,1m, 0,2m, and 1.0m. This dataset is meant as a Benchmark Set definition for the project "Un... |
Sep 15, 2025 - C04: Pore-scale and REV-scale approaches to biological and chemical pore-space alteration in porous media
Hommel, Johannes; Bozkurt, Kerem; Nething, Christoph; Smirnova, Maiia, 2025, "Data used in and produced during calibration and validation of the model for bioconcrete production", https://doi.org/10.18419/DARUS-4814, DaRUS, V1
Data used in and produced during calibration and validation of the model for bioconcrete production in the paper "A numerical 1D reactive flow and transport model for cementation processes in bio-concrete production". Experimental data is derived from Smirnova et al. 2023. The experiment TR1-2 was used to calibrate the developed model for bioconcre... |
Sep 15, 2025 - C04: Pore-scale and REV-scale approaches to biological and chemical pore-space alteration in porous media
Hommel, Johannes; Bozkurt, Kerem; Wang, Yue; Class, Holger, 2025, "Model for Bioconcrete Production", https://doi.org/10.18419/DARUS-4813, DaRUS, V1
This dataset contains the code for the REV-scale model for "A numerical 1D reactive flow and transport model for cementation processes in bio-concrete production". The model was (and can be) applied for various experimental setups, for which input files are provided as well. The setup of these is described in the Readme. Related datasets and reposi... |
